Bibliographic record
Abstract
On 12 May 1994, an unsolicited box of what appeared to be tobacco industry documents was delivered to Professor Stanton Glantz at the University of California at San Francisco (UCSF).1 The return address on the box was listed as “Mr Butts”. As it turned out, the box contained a collection of internal industry studies and reports that had been copied by a paralegal working for the law firm representing the Brown and Williamson Tobacco Company (B&W). The paralegal, Dr Merrell Williams, had been hired in 1988 by the law firm of Wyatt, Tarrant and Coombs to review millions of pages of memoranda, reports, and research studies related to B&W and their parent affiliate British American Tobacco (BAT). The goal of the exercise was to identify material that was perceived to be “critical” in terms of litigation risk for the company. Williams was laid off in 1992, but retained copies of thousands of pages of documents. The following year Williams, who had been a heavy smoker himself, was diagnosed with a serious heart ailment. He contacted the Wyatt firm and informed them that he had retained some of the documents and would return them. However, he blamed his heart condition on the stress induced by what he had read about smoking in those documents and threatened to sue the Wyatt firm for his health problems unless they settled. Instead, the Wyatt firm filed a civil action against Williams, for theft of the secret tobacco documents. In 1995, Glantz and his colleagues published a series of articles in the Journal of the American Medical Association 2–6 and then a book, Cigarette Papers ,1 summarising what was learned from that box of documents and related documents then available from scattered other sources. These reports provided the first real glimpse into …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".