essay paper on unix

A repository of Unix history and evolution

• Published: 11 August 2016
• Volume 22 , pages 1372–1404, ( 2017 )

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• Diomidis Spinellis 1  

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The history and evolution of the Unix operating system is made available as a revision management repository, covering the period from its inception in 1972 as a five thousand line kernel, to 2016 as a widely-used 27 million line system. The 1.1 gb repository contains 496 thousand commits and 2,523 branch merges. The repository employs the commonly used Git version control system for its storage, and is hosted on the popular GitHub archive. It has been created by synthesizing with custom software 24 snapshots of systems developed at Bell Labs, the University of California at Berkeley, and the 386 bsd team, two legacy repositories, and the modern repository of the open source Free bsd system. In total, 973 individual contributors are identified, the early ones through primary research. The data set can be used for empirical research in software engineering, information systems, and software archaeology.

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Acknowledgments

The author thanks the many individuals who contributed, directly or indirectly, to the effort. John Cowan, Brian W. Kernighan, Larry McVoy, Doug McIlroy, Jeremy C. Reed, Aharon Robbins, and Marc Rochkind helped with Bell Labs login identifiers. Clem Cole, John Cowan, Era Eriksson, Mary Ann Horton, Warner Losh, Kirk McKusick, Jeremy C. Reed, Ingo Schwarze, Anatole Shaw, and Norman Wilson helped with bsd login identifiers and code authorship information. The historical and current material used in the repository was made available thanks to efforts by the Free bsd Project, Lynne Greer Jolitz, William F. Jolitz, Kirk McKusick, and the Unix Heritage Society. The early Unix editions were released under an bsd -style license thanks to the efforts of Bill Broderick, Paul Hatch, Dion L. Johnson II, Ransom Love, and Warren Toomey. The bsd sccs import code is based on work by H. Merijn Brand and Jonathan Gray. The newoldar program is a result of work by Brandon Creighton and Dan Frasnelli. The First Research Edition Unix was restored by Johan Beiser, Tim Bradshaw, Brantley Coile, Christian David, Alex Garbutt, Hellwig Geisse, Cyrille Lefevre, Ralph Logan, James Markevitch, Doug Merritt, Tim Newsham, Brad Parker, and Warren Toomey.

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Communicated by: Romain Robbes, Martin Pinzger and Yasutaka Kamei

The work has been partially funded by the Research Centre of the Athens University of Economics and Business, under the Original Scientific Publications framework (project code EP-2279-01) and supported by computational time granted from the Greek Research & Technology Network ( grnet ) in the National hpc facility — aris — under project id pa003005-cdolpot .

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Spinellis, D. A repository of Unix history and evolution. Empir Software Eng 22 , 1372–1404 (2017). https://doi.org/10.1007/s10664-016-9445-5

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Published : 11 August 2016

Issue Date : June 2017

DOI : https://doi.org/10.1007/s10664-016-9445-5

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An analysis of unix system configuration.

Remy Evard, Argonne National Laboratory

Management of operating system configuration files files is an essential part of UNIX systems administration. It is particularly difficult in environments with a large number of computers.

This paper presents a study of UNIX configuration file management. It compares existing systems and tools from the literature, presents several case studies of configuration file management in practice, examines one site in depth, and makes numerous observations on the configuration process.

Remy Evard, Argonne National Lab

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Announcing the NeurIPS 2023 Paper Awards 

Communications Chairs 2023 2023 Conference awards , neurips2023

By Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine and Comms Chair, Sahra Ghalebikesabi 

We are honored to announce the award-winning papers for NeurIPS 2023! This year’s prestigious awards consist of the Test of Time Award plus two Outstanding Paper Awards in each of these three categories: 

• Two Outstanding Main Track Papers 
• Two Outstanding Main Track Runner-Ups 
• Two Outstanding Datasets and Benchmark Track Papers  

This year’s organizers received a record number of paper submissions. Of the 13,300 submitted papers that were reviewed by 968 Area Chairs, 98 senior area chairs, and 396 Ethics reviewers 3,540  were accepted after 502 papers were flagged for ethics reviews . 

We thank the awards committee for the main track: Yoav Artzi, Chelsea Finn, Ludwig Schmidt, Ricardo Silva, Isabel Valera, and Mengdi Wang. For the Datasets and Benchmarks track, we thank Sergio Escalera, Isabelle Guyon, Neil Lawrence, Dina Machuve, Olga Russakovsky, Hugo Jair Escalante, Deepti Ghadiyaram, and Serena Yeung. Conflicts of interest were taken into account in the decision process.

Congratulations to all the authors! See Posters Sessions Tue-Thur in Great Hall & B1-B2 (level 1).

Outstanding Main Track Papers

Privacy Auditing with One (1) Training Run Authors: Thomas Steinke · Milad Nasr · Matthew Jagielski

Poster session 2: Tue 12 Dec 5:15 p.m. — 7:15 p.m. CST, #1523

Oral: Tue 12 Dec 3:40 p.m. — 4:40 p.m. CST, Room R06-R09 (level 2)

Abstract: We propose a scheme for auditing differentially private machine learning systems with a single training run. This exploits the parallelism of being able to add or remove multiple training examples independently. We analyze this using the connection between differential privacy and statistical generalization, which avoids the cost of group privacy. Our auditing scheme requires minimal assumptions about the algorithm and can be applied in the black-box or white-box setting. We demonstrate the effectiveness of our framework by applying it to DP-SGD, where we can achieve meaningful empirical privacy lower bounds by training only one model. In contrast, standard methods would require training hundreds of models.

Are Emergent Abilities of Large Language Models a Mirage? Authors: Rylan Schaeffer · Brando Miranda · Sanmi Koyejo

Poster session 6: Thu 14 Dec 5:00 p.m. — 7:00 p.m. CST, #1108

Oral: Thu 14 Dec 3:20 p.m. — 3:35 p.m. CST, Hall C2 (level 1) 

Abstract: Recent work claims that large language models display emergent abilities, abilities not present in smaller-scale models that are present in larger-scale models. What makes emergent abilities intriguing is two-fold: their sharpness, transitioning seemingly instantaneously from not present to present, and their unpredictability , appearing at seemingly unforeseeable model scales. Here, we present an alternative explanation for emergent abilities: that for a particular task and model family, when analyzing fixed model outputs, emergent abilities appear due to the researcher’s choice of metric rather than due to fundamental changes in model behavior with scale. Specifically, nonlinear or discontinuous metrics produce apparent emergent abilities, whereas linear or continuous metrics produce smooth, continuous, predictable changes in model performance. We present our alternative explanation in a simple mathematical model, then test it in three complementary ways: we (1) make, test and confirm three predictions on the effect of metric choice using the InstructGPT/GPT-3 family on tasks with claimed emergent abilities, (2) make, test and confirm two predictions about metric choices in a meta-analysis of emergent abilities on BIG-Bench; and (3) show how to choose metrics to produce never-before-seen seemingly emergent abilities in multiple vision tasks across diverse deep networks. Via all three analyses, we provide evidence that alleged emergent abilities evaporate with different metrics or with better statistics, and may not be a fundamental property of scaling AI models.

Outstanding Main Track Runner-Ups

Scaling Data-Constrained Language Models Authors : Niklas Muennighoff · Alexander Rush · Boaz Barak · Teven Le Scao · Nouamane Tazi · Aleksandra Piktus · Sampo Pyysalo · Thomas Wolf · Colin Raffel

Poster session 2: Tue 12 Dec 5:15 p.m. — 7:15 p.m. CST, #813

Oral: Tue 12 Dec 3:40 p.m. — 4:40 p.m. CST, Hall C2 (level 1)  

Abstract : The current trend of scaling language models involves increasing both parameter count and training dataset size. Extrapolating this trend suggests that training dataset size may soon be limited by the amount of text data available on the internet. Motivated by this limit, we investigate scaling language models in data-constrained regimes. Specifically, we run a large set of experiments varying the extent of data repetition and compute budget, ranging up to 900 billion training tokens and 9 billion parameter models. We find that with constrained data for a fixed compute budget, training with up to 4 epochs of repeated data yields negligible changes to loss compared to having unique data. However, with more repetition, the value of adding compute eventually decays to zero. We propose and empirically validate a scaling law for compute optimality that accounts for the decreasing value of repeated tokens and excess parameters. Finally, we experiment with approaches mitigating data scarcity, including augmenting the training dataset with code data or removing commonly used filters. Models and datasets from our 400 training runs are freely available at https://github.com/huggingface/datablations .

Direct Preference Optimization: Your Language Model is Secretly a Reward Model Authors: Rafael Rafailov · Archit Sharma · Eric Mitchell · Christopher D Manning · Stefano Ermon · Chelsea Finn

Poster session 6: Thu 14 Dec 5:00 p.m. — 7:00 p.m. CST, #625

Oral: Thu 14 Dec 3:50 p.m. — 4:05 p.m. CST, Ballroom A-C (level 2)  

Abstract: While large-scale unsupervised language models (LMs) learn broad world knowledge and some reasoning skills, achieving precise control of their behavior is difficult due to the completely unsupervised nature of their training. Existing methods for gaining such steerability collect human labels of the relative quality of model generations and fine-tune the unsupervised LM to align with these preferences, often with reinforcement learning from human feedback (RLHF). However, RLHF is a complex and often unstable procedure, first fitting a reward model that reflects the human preferences, and then fine-tuning the large unsupervised LM using reinforcement learning to maximize this estimated reward without drifting too far from the original model. In this paper, we leverage a mapping between reward functions and optimal policies to show that this constrained reward maximization problem can be optimized exactly with a single stage of policy training, essentially solving a classification problem on the human preference data. The resulting algorithm, which we call Direct Preference Optimization (DPO), is stable, performant, and computationally lightweight, eliminating the need for fitting a reward model, sampling from the LM during fine-tuning, or performing significant hyperparameter tuning. Our experiments show that DPO can fine-tune LMs to align with human preferences as well as or better than existing methods. Notably, fine-tuning with DPO exceeds RLHF’s ability to control sentiment of generations and improves response quality in summarization and single-turn dialogue while being substantially simpler to implement and train.

Outstanding Datasets and Benchmarks Papers

In the dataset category : 

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Authors:  Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus C. Will · Gunnar Behrens · Julius Busecke · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Tian Zheng · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Mike Pritchard

Poster session 4: Wed 13 Dec 5:00 p.m. — 7:00 p.m. CST, #105 

Oral: Wed 13 Dec 3:45 p.m. — 4:00 p.m. CST, Ballroom A-C (level 2)

Abstract: Modern climate projections lack adequate spatial and temporal resolution due to computational constraints. A consequence is inaccurate and imprecise predictions of critical processes such as storms. Hybrid methods that combine physics with machine learning (ML) have introduced a new generation of higher fidelity climate simulators that can sidestep Moore’s Law by outsourcing compute-hungry, short, high-resolution simulations to ML emulators. However, this hybrid ML-physics simulation approach requires domain-specific treatment and has been inaccessible to ML experts because of lack of training data and relevant, easy-to-use workflows. We present ClimSim, the largest-ever dataset designed for hybrid ML-physics research. It comprises multi-scale climate simulations, developed by a consortium of climate scientists and ML researchers. It consists of 5.7 billion pairs of multivariate input and output vectors that isolate the influence of locally-nested, high-resolution, high-fidelity physics on a host climate simulator’s macro-scale physical state. The dataset is global in coverage, spans multiple years at high sampling frequency, and is designed such that resulting emulators are compatible with downstream coupling into operational climate simulators. We implement a range of deterministic and stochastic regression baselines to highlight the ML challenges and their scoring. The data (https://huggingface.co/datasets/LEAP/ClimSim_high-res) and code (https://leap-stc.github.io/ClimSim) are released openly to support the development of hybrid ML-physics and high-fidelity climate simulations for the benefit of science and society.   

In the benchmark category :

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Authors: Boxin Wang · Weixin Chen · Hengzhi Pei · Chulin Xie · Mintong Kang · Chenhui Zhang · Chejian Xu · Zidi Xiong · Ritik Dutta · Rylan Schaeffer · Sang Truong · Simran Arora · Mantas Mazeika · Dan Hendrycks · Zinan Lin · Yu Cheng · Sanmi Koyejo · Dawn Song · Bo Li

Poster session 1: Tue 12 Dec 10:45 a.m. — 12:45 p.m. CST, #1618  

Oral: Tue 12 Dec 10:30 a.m. — 10:45 a.m. CST, Ballroom A-C (Level 2)

Abstract: Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in capabilities, capturing the interest of practitioners and the public alike. Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT models for sensitive applications to healthcare and finance – where mistakes can be costly. To this end, this work proposes a comprehensive trustworthiness evaluation for large language models with a focus on GPT-4 and GPT-3.5, considering diverse perspectives – including toxicity, stereotype bias, adversarial robustness, out-of-distribution robustness, robustness on adversarial demonstrations, privacy, machine ethics, and fairness. Based on our evaluations, we discover previously unpublished vulnerabilities to trustworthiness threats. For instance, we find that GPT models can be easily misled to generate toxic and biased outputs and leak private information in both training data and conversation history. We also find that although GPT-4 is usually more trustworthy than GPT-3.5 on standard benchmarks, GPT-4 is more vulnerable given jailbreaking system or user prompts, potentially due to the reason that GPT-4 follows the (misleading) instructions more precisely. Our work illustrates a comprehensive trustworthiness evaluation of GPT models and sheds light on the trustworthiness gaps. Our benchmark is publicly available at https://decodingtrust.github.io/.

Test of Time

This year, following the usual practice, we chose a NeurIPS paper from 10 years ago to receive the Test of Time Award, and “ Distributed Representations of Words and Phrases and their Compositionality ” by Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean, won. 

Published at NeurIPS 2013 and cited over 40,000 times, the work introduced the seminal word embedding technique word2vec. Demonstrating the power of learning from large amounts of unstructured text, the work catalyzed progress that marked the beginning of a new era in natural language processing.

Greg Corrado and Jeffrey Dean will be giving a talk about this work and related research on Tuesday, 12 Dec at 3:05 – 3:25 pm CST in Hall F.  

Related Posts

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Reflections on the neurips 2023 ethics review process, neurips newsletter – november 2023.

More From Forbes

How not to write your college essay.

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If you are looking for the “secret formula” for writing a “winning” college essay, you have come to the wrong place. The reality is there is no silver bullet or strategy to write your way to an acceptance. There is not one topic or approach that will guarantee a favorable outcome.

At the end of the day, every admission office just wants to know more about you, what you value, and what excites you. They want to hear about your experiences through your own words and in your own voice. As you set out to write your essay, you will no doubt get input (both sought-after and unsolicited) on what to write. But how about what NOT Notcoin to write? There are avoidable blunders that applicants frequently make in drafting their essays. I asked college admission leaders, who have read thousands of submissions, to share their thoughts.

Don’t Go In There

There is wide consensus on this first one, so before you call on your Jedi mind tricks or predictive analytics, listen to the voices of a diverse range of admission deans. Peter Hagan, executive director of admissions at Syracuse University, sums it up best, saying, “I would recommend that students try not to get inside of our heads. He adds, “Too often the focus is on what they think we want.”

Andy Strickler, dean of admission and financial aid at Connecticut College agrees, warning, “Do NOT get caught in the trap of trying to figure out what is going to impress the admission committee. You have NO idea who is going to read your essay and what is going to connect with them. So, don't try to guess that.” Victoria Romero, vice president for enrollment, at Scripps College adds, “Do not write about something you don’t care about.” She says, “I think students try to figure out what an admission officer wants to read, and the reality is the reader begins every next essay with no expectations about the content THEY want to read.” Chrystal Russell, dean of admission at Hampden-Sydney College, agrees, saying, “If you're not interested in writing it, we will not be interested when reading it.” Jay Jacobs, vice provost for enrollment management at the University of Vermont elaborates, advising. “Don’t try to make yourself sound any different than you are.” He says, “The number one goal for admission officers is to better understand the applicant, what they like to do, what they want to do, where they spend the majority of their time, and what makes them tick. If a student stays genuine to that, it will shine through and make an engaging and successful essay.”

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Don’t Be Artificial

The headlines about college admission are dominated by stories about artificial intelligence and the college essay. Let’s set some ground rules–to allow ChatGPT or some other tool to do your work is not only unethical, it is also unintelligent. The only worse mistake you could make is to let another human write your essay for you. Instead of preoccupying yourself with whether or not colleges are using AI detection software (most are not), spend your time focused on how best to express yourself authentically. Rick Clark is the executive director of strategic student success at Georgia Institute of Technology, one of the first institutions to clearly outline their AI policy for applicants. He says, “Much of a college application is devoted to lines, boxes, and numbers. Essays and supplements are the one place to establish connection, personality, and distinction. AI, in its current state, is terrible at all three.” He adds, “My hope is that students will use ChatGPT or other tools for brainstorming and to get started, but then move quickly into crafting an essay that will provide insight and value.”

Don’t Overdo It

Michael Stefanowicz, vice president for enrollment management at Landmark College says, “You can only cover so much detail about yourself in an admission essay, and a lot of students feel pressure to tell their life story or choose their most defining experience to date as an essay topic. Admission professionals know that you’re sharing just one part of your lived experience in the essay.” He adds, “Some of the favorite essays I’ve read have been episodic, reflecting on the way you’ve found meaning in a seemingly ordinary experience, advice you’ve lived out, a mistake you’ve learned from, or a special tradition in your life.” Gary Ross, vice president for admission and financial aid at Colgate University adds, “More than a few applicants each year craft essays that talk about the frustration and struggles they have experienced in identifying a topic for their college application essay. Presenting your college application essay as a smorgasbord of topics that ultimately landed on the cutting room floor does not give us much insight into an applicant.”

Don’t Believe In Magic

Jason Nevinger, senior director of admission at the University of Rochester warns, “Be skeptical of anyone or any company telling you, ‘This is the essay that got me into _____.’ There is no magic topic, approach, sentence structure, or prose that got any student into any institution ever.” Social media is littered with advertisements promising strategic essay help. Don’t waste your time, energy, or money trying to emulate a certain style, topic, or tone. Liz Cheron is chief executive officer for the Coalition for College and former assistant vice president of enrollment & dean of admissions at Northeastern University. She agrees with Nevinger, saying “Don't put pressure on yourself to find the perfect, slam dunk topic. The vast majority of college essays do exactly what they're supposed to do–they are well-written and tell the admission officer more about the student in that student's voice–and that can take many different forms.”

Don’t Over Recycle

Beatrice Atkinson-Myers, associate director of global recruitment at the University of California at Santa Cruz tells students, “Do not use the same response for each university; research and craft your essay to match the program at the university you are interested in studying. Don't waste time telling me things I can read elsewhere in your application. Use your essay to give the admissions officer insights into your motivations, interests, and thinking. Don't make your essay the kitchen sink, focus on one or two examples which demonstrate your depth and creativity.” Her UC colleague, Jim Rawlins, associate vice chancellor of enrollment management at the University of California at San Diego agrees, saying “Answer the question. Not doing so is the surest way we can tell you are simply giving us a snippet of something you actually wrote for a different purpose.”

Don’t Overedit

Emily Roper-Doten, vice president for undergraduate admissions and financial assistance at Clark University warns against “Too many editors!” She says, “Pick a couple of trusted folks to be your sounding board when considering topics and as readers once you have drafts. You don’t want too many voices in your essay to drown you out!” Scripps’ Romero agrees, suggesting, “Ask a good friend, someone you trust and knows you well, to read your essays.” She adds, “The goal is for the admission committee to get to know a little about you and who better to help you create that framework, than a good friend. This may not work for all students because of content but helps them understand it’s important to be themselves.” Whitney Soule, vice provost and dean of admissions at The University of Pennsylvania adds, “Avoid well-meaning editorial interference that might seem to polish your writing but actually takes your own personal ‘shine’ right out of the message.” She says, “As readers, we connect to applicants through their genuine tone and style. Considering editorial advice for flow and message is OK but hold on to the 'you' for what you want to say and how you want to say it.”

Don’t Get Showy

Palmer Muntz, senior regional admissions counselor at the University of Alaska Fairbanks cautions applicants, “Don’t be fancier than you are. You don’t need to put on airs.” He adds, “Yes, proofread your work for grammar and spelling, but be natural. Craft something you’d want to read yourself, which probably means keeping your paragraphs short, using familiar words, and writing in an active voice.” Connecticut College’s Strickler agrees, warning, “Don't try to be someone you are not. If you are not funny, don't try to write a funny essay. If you are not an intellectual, trying to write an intellectual essay is a bad idea.”

Anthony Jones, the vice president of enrollment management at Loyola University New Orleans offers a unique metaphor for thinking about the essay. He says, “In the new world of the hyper-fast college admission process, it's become easy to overlook the essential meaning of the college application. It's meant to reveal Y...O...U, the real you, not some phony digital avatar. Think of the essay as the essence of that voice but in analog. Like the completeness and authenticity captured in a vinyl record, the few lines you're given to explain your view should be a slow walk through unrestrained expression chock full of unapologetic nuances, crevices of emotion, and exactness about how you feel in the moment. Then, and only then, can you give the admissions officer an experience that makes them want to tune in and listen for more.”

Don’t Be A Downer

James Nondorf, vice president and dean of admissions and financial aid at The University of Chicago says, “Don’t be negative about other people, be appreciative of those who have supported you, and be excited about who you are and what you will bring to our campus!” He adds, “While admissions offices want smart students for our classrooms, we also want kind-hearted, caring, and joyous students who will add to our campus communities too.”

Don’t Pattern Match

Alan Ramirez is the dean of admission and financial aid at Sewanee, The University of the South. He explains, “A big concern I have is when students find themselves comparing their writing to other students or past applicants and transform their writing to be more like those individuals as a way to better their chances of offering a more-compelling essay.” He emphasizes that the result is that the “essay is no longer authentic nor the best representation of themselves and the whole point of the essay is lost. Their distinctive voice and viewpoint contribute to the range of voices in the incoming class, enhancing the diversity of perspectives we aim to achieve.” Ramirez simple tells students, “Be yourself, that’s what we want to see, plus there's no one else who can do it better than you!”

Don’t Feel Tied To A Topic

Jessica Ricker is the vice president for enrollment and dean of admissions and financial aid at Skidmore College. She says, “Sometimes students feel they must tell a story of grief or hardship, and then end up reliving that during the essay-writing process in ways that are emotionally detrimental. I encourage students to choose a topic they can reflect upon positively but recommend that if they choose a more challenging experience to write about, they avoid belaboring the details and instead focus on the outcome of that journey.” She adds, "They simply need to name it, frame its impact, and then help us as the reader understand how it has shaped their lens on life and their approach moving forward.”

Landmark College’s Stefanowicz adds, “A lot of students worry about how personal to get in sharing a part of their identity like your race or heritage (recalling last year’s Supreme Court case about race-conscious admissions), a learning difference or other disability, your religious values, LGBTQ identity…the list goes on.” He emphasizes, “This is always your choice, and your essay doesn’t have to be about a defining identity. But I encourage you to be fully yourself as you present yourself to colleges—because the college admission process is about finding a school where your whole self is welcome and you find a setting to flourish!”

Don’t Be Redundant

Hillen Grason Jr., dean of admission at Franklin & Marshall College, advises, “Don't repeat academic or co-curricular information that is easily identifiable within other parts of your application unless the topic is a core tenant of you as an individual.” He adds, “Use your essay, and other parts of your application, wisely. Your essay is the best way to convey who your authentic self is to the schools you apply. If you navigated a situation that led to a dip in your grades or co-curricular involvement, leverage the ‘additional information’ section of the application.

Thomas Marr is a regional manager of admissions for the Americas at The University of St Andrews in Scotland and points out that “Not all international schools use the main college essay as part of their assessment when reviewing student applications.” He says, “At the University of St Andrews, we focus on the supplemental essay and students should avoid the mistake of making the supplemental a repeat of their other essay. The supplemental (called the Personal Statement if using the UCAS application process) is to show the extent of their passion and enthusiasm for the subject/s to which they are applying and we expect about 75% of the content to cover this. They can use the remaining space to mention their interests outside of the classroom. Some students confuse passion for the school with passion for their subject; do not fall into that trap.”

A Few Final Don’ts

Don’t delay. Every college applicant I have ever worked with has wished they had started earlier. You can best avoid the pitfalls above if you give yourself the time and space to write a thoughtful essay and welcome feedback openly but cautiously. Don’t put too much pressure on yourself to be perfect . Do your best, share your voice, and stay true to who you are.

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• Nation & World

RFK Jr. files papers to run as independent presidential candidate in Illinois

The pool of presidential candidates widened in Illinois on Monday, now including five new names alongside President Joe Biden and former President Donald Trump.

Among them, the Robert F. Kennedy Jr. campaign submitted its nomination papers — containing more than 60,000 signatures according to campaign officials — with the Illinois State Board of Elections Monday afternoon.

If the election board confirms the validity of the papers, Illinois would become the ninth confirmed state that the independent has made it on the ballot.

Kennedy Jr., nephew of President John F. Kennedy and son of Attorney General Robert F. Kennedy, tried to secure the Democratic Party's nominee over Biden. Having lost that bid to the presumptive nominee, he began an independent run in October.

More: Party infighting leads to Illinois GOP chairman stepping down

Seen as an underdog in the election now approaching four months away, RFK supporters Sean Phillips and Kirsten Bonanza of Springfield see the candidate as a needed change of pace from Biden and Trump.

"Most of the way that I create my life is by asking the question, 'What will my life be like in next five years if I make this choice.'... And when I ask that about him (RFK) it's just off the hook," said Bonanza, one of approximately 30 supporters gathering outside the election board's Springfield office. "Bobby Kennedy is a statesman, when the rest are just politicians."

Phillips added that Kennedy Jr.'s ideas for handling the border crisis and tackling the national debt had garnered his support. Still, the Kennedy political family is not getting behind him and instead urging voters to back Biden. Gov. JB Pritzker, a Biden surrogate, previously told CNN that Democrats supporting anyone else but Biden would be "throwing away" their vote.

Kennedy is trying to secure ballot access in all 50 states, but has seen objections filed in four states this month. Both Biden and Trump staved off challenges in Illinois to having their name appear on the November ballot earlier this year.

Who else is running?

Joining Kennedy in submitting papers to run as president was Green Party candidate Jill Stein and two Illinois residents — Christopher Cisco of Piper City and Heather Lynn Stone of Peoria. Not making the cut was independent Cornel West.

Former gubernatorial candidate Scott Schluter submitted papers for the Libertarian ticket. Justin Tucker, the state party's executive director, however confirmed with The State Journal-Register that Schluter is a placeholder for former Georgia Senate candidate Chase Oliver, who is the party's official nominee.

Having a stand-in candidate is necessary, Tucker said, because the party's petition drive started after the Libertarian Party's Presidential Nominating Convention held on Memorial Day weekend. Oliver's name will appear on the ballot, not Schluter's.

Objections to any of the candidates who filed between June 17 and June 24 can be filed now until next Monday. Election day is Tuesday, Nov. 5 with early voting beginning on Sept. 26.

Contact Patrick M. Keck: [email protected], twitter.com/@pkeckreporter.

Chiquita Found Liable for Colombia Paramilitary Killings

National Security Archive Schedule of Chiquita’s Paramilitary Payments Evidence at Trial

Jury Awards Banana Company Victims $38.3 Million in Landmark Human Rights Case

Washington, D.C., June 10, 2024 – Today, an eight-member jury in West Palm Beach, Florida, found Chiquita Brands International liable for funding a violent Colombian paramilitary organization, the United Self-defense Forces of Colombia (AUC), that was responsible for major human rights atrocities during the 1990s and 2000s. The weeks-long trial featured testimony from the families of the nine victims in the case, the recollections of Colombian military officials and Chiquita executives, expert reports, and a summary of key documentary evidence produced by Michael Evans, director of the National Security Archive’s Colombia documentation project.

“This historic ruling marks the first time that an American jury has held a major U.S. corporation liable for complicity in serious human rights abuses in another country,” according to a press release from EarthRights International , which represents victims in the case.

Colombian President Gustavo Petro reacted to the news on X (formerly Twitter) by asking why Colombian justice could not do what had been done in a U.S. court.

¿Por qué la justicia de EEUU pudo determinar en verdad judicial que Chiquita Brands financió el paramilitarismo en Urabá?. ¿Por qué no pudo la justicia colombiana? Si el acuerdo de paz del 2016, que ya sabemos es una declaración unilateral de estado que nos compromete ante el… https://t.co/pT2l86cuyH — Gustavo Petro (@petrogustavo) June 11, 2024

In 2007, Chiquita reached a sentencing agreement with the U.S. Department of Justice in which it admitted to $1.7 million in payments to the AUC, which was designated a terrorist organization by the United States in 2001. Chiquita paid a $25 million fine for violating a U.S. anti-terrorism statute but has never before had to answer to victims of the paramilitary group it financed. In 2018, Chiquita settled separate claims brought by the families of six victims of the FARC insurgent group, which was also paid by Chiquita for many years.

This trial focused on nine bellwether cases among hundreds of claims that have been brought against Chiquita by victims of AUC violence. The nine plaintiffs were represented by EarthRights, International Rights Advocates, and other attorneys who years ago agreed to consolidate their claims against Chiquita and collaborate in multidistrict litigation (MDL) in the U.S. District Court for Southern Florida. Today, the jury found Chiquita liable in eight of the nine cases presented to them.

Plaintiffs contended that Chiquita willingly entered into “an unholy alliance with the AUC,” a group responsible for horrible atrocities and grave human rights abuses, at a time when the banana company was buying land and expanding its presence in Colombia’s violent banana-growing region. Attorneys for Chiquita argued that the company was “clearly extorted” by the AUC and had no choice but to make the payments. [1]

Jurors found that the AUC was responsible for eight of the nine murders at issue in the case; that Chiquita had “failed to act as a reasonable businessperson”; that “Chiquita knowingly provided substantial assistance to the AUC” that created “a foreseeable risk of harm to others”; and that Chiquita had failed to prove either that the AUC actually threatened them or that there was “no reasonable alternative” to paying them.

Testifying on May 14, Evans described the “1006 summary” he created for the plaintiffs tracking ten years of Chiquita’s paramilitary payments and based exclusively on thousands of internal records produced by Chiquita in the case. Evans explained how he sorted through thousands of payment request forms, security situation reports, spreadsheets, auditing documents, depositions, legal memoranda, and other documents from Chiquita’s own internal records to create the summary, which tracks over one hundred payments to the AUC, most of them funneled through “Convivir” self-defense groups that acted as legal fronts for the paramilitaries.

Importantly, Evans found Chiquita payments to Convivir groups beginning in 1995, two years earlier than Chiquita had previously admitted, and several other Convivir payments not included on the list proffered by Chiquita in the case that resulted in the 2007 sentencing agreement. Other notable items in the schedule include payments that were funneled through an armored vehicle service run by Darío Laíno Scopetta, a top leader of the AUC’s Northern Bloc who is now serving a 32-year sentence in Colombia for financing paramilitary operations.

Since 2007, the National Security Archive has obtained thousands of internal records on Chiquita’s “sensitive payments” in Colombia through Freedom of Information Act (FOIA) requests and through FOIA litigation, even overcoming Chiquita’s “reverse FOIA” attempt to block the release of records by the U.S. Securities and Exchange Commission. Key revelations from these FOIA releases are featured in numerous publications from the Archive’s Chiquita Papers collection. Since most of these records and many related documents were also produced during the discovery phase of this case, plaintiffs asked Evans to summarize them in the schedule that was presented at trial.

The schedule of paramilitary payments was also one of the last images left in the minds of jurors as plaintiffs closed their case-in-chief several weeks ago. After discussing the details of some of Chiquita’s more unusual paramilitary transactions, lead counsel Marco Simons of EarthRights walked the jury through the text of a document that was featured in the Archive’s first-ever Chiquita Papers posting in 2011 . Written by Chiquita in-house counsel Robert Thomas, the handwritten memo described assurances from Chiquita staff in Colombia that payments to a paramilitary front company were necessary because Chiquita “can’t get the same level of support from the military.”

Plaintiffs also relied on the Chiquita Papers records during the cross examination of key defense witnesses who were involved in making the illicit payments. In one example, plaintiffs drew from an internal report on the conflict situation in Colombia in 1992 ( originally published here ) to help elicit important admissions about the origins of the paramilitary payments from Charles “Buck” Keiser, the longtime general manager of Chiquita operations in Colombia. The report from Chiquita’s Colombia-based security staff said that among the armed groups then getting payments from Chiquita was one, the Popular Commands, that was considered a “paramilitary” group. Prompted by documents and other evidence, Keiser steered the jury through the process by which voluntary payments to the Popular Commands became payments to the AUC. (See our previous posting featuring key documents about Keiser and 12 other Chiquita officials accused of crimes against humanity in Colombia.)

Crucially, Keiser also admitted that a supposedly pivotal meeting with top AUC leader Carlos Castaño that has long been one of the pillars of Chiquita’s duress defense had virtually no bearing on the company’s decision to pay paramilitary groups and that, in fact, the company had already begun to pay paramilitary-linked Convivir self-defense groups long before the Castaño meeting. Several witnesses, including Keiser, also admitted that the company had never actually been threatened by the AUC or been the victim of AUC violence, according to trial transcripts.

A future Electronic Briefing Book will focus on some of the key evidence that was brought forward in this case. In the meantime, those interested in reading more about the case and the entire episode can start at our Chiquita Papers page.

[1] David Minsky, “Chiquita Capitalized on Colombia’s War. Victims’ Families Say,” Law360 , April 30, 2024.

British Academics Despair as ChatGPT-Written Essays Swamp Grading Season

‘It’s not a machine for cheating; it’s a machine for producing crap,’ says one professor infuriated by the rise of bland essays.

By  Jack Grove for Times Higher Education

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The increased prevalence of students using ChatGPT to write essays should prompt a rethink about whether current policies encouraging “ethical” use of artificial intelligence (AI) are working, scholars have argued.

With marking season in full flow, lecturers have taken to social media in large numbers to complain about AI-generated content found in submitted work.

Telltale signs of ChatGPT use, according to academics, include little-used words such as “delve” and “multifaceted,” summarizing key themes using bullet points and a jarring conversational style using terms such as, “Let’s explore this theme.”

In a more obvious giveaway, one professor said an advertisement for an AI essay company was  buried in a paper’s introduction ; another academic noted how a student had  forgotten to remove a chatbot statement  that the content was AI-generated.

“I had no idea how many would resort to it,” admitted  one U.K. law professor .

Des Fitzgerald, professor of medical humanities and social sciences at  University College Cork , told  Times Higher Education  that student use of AI had “gone totally mainstream” this year.

“Across a batch of essays, you do start to notice the tics of ChatGPT essays, which is partly about repetition of certain words or phrases, but is also just a kind of aura of machinic blandness that’s hard to describe to someone who hasn’t encountered it—an essay with no edges, that does nothing technically wrong or bad, but not much right or good, either,” said Professor Fitzgerald.

Since  ChatGPT’s emergence in late 2022 , some universities have adopted policies to allow the use of AI as long as it is acknowledged, while others have begun using AI content detectors, although  opinion is divided on their effectiveness .

According to the  latest Student Academic Experience Survey , for which Advance HE and the Higher Education Policy Institute polled around 10,000 U.K. undergraduates, 61 percent use AI at least a little each month, “in a way allowed by their institution,” while 31 percent do so every week.

Professor Fitzgerald said that although some colleagues “think we just need to live with this, even that we have a duty to teach students to use it well,” he was “totally against” the use of AI tools for essays.

“ChatGPT is completely antithetical to everything I think I’m doing as a teacher—working with students to engage with texts, thinking through ideas, learning to clarify and express complex thoughts, taking some risks with those thoughts, locating some kind of distinctive inner voice. ChatGPT is total poison for all of this, and we need to simply ban it,” he said.

Steve Fuller, professor of sociology at the  University of Warwick , agreed that AI use had “become more noticeable” this year despite his students signing contracts saying they would not use it to write essays.

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He said he was not opposed to students using it “as long as what they produce sounds smart and on point, and the marker can’t recognize it as simply having been lifted from another source wholesale.”

Those who leaned heavily on the technology should expect a relatively low mark, even though they might pass, said Professor Fuller.

“Students routinely commit errors of fact, reasoning and grammar [without ChatGPT], yet if their text touches enough bases with the assignment, they’re likely to get somewhere in the low- to mid-60s. ChatGPT does a credible job at simulating such mediocrity, and that’s good enough for many of its student users,” he said.

Having to mark such mediocre essays partly generated by AI is, however, a growing complaint among academics. Posting on X,  Lancaster University  economist  Renaud Foucart  said marking AI-generated essays “takes much more time to assess [because] I need to concentrate much more to cut through the amount of seemingly logical statements that are actually full of emptiness.”

“My biggest issue [with AI] is less the moral issue about cheating but more what ChatGPT offers students,” Professor Fitzgerald added. “All it is capable of is [writing] bad essays made up of non-ideas and empty sentences. It’s not a machine for cheating; it’s a machine for producing crap.”

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