Bibliographic record
Abstract
In December 2000 Nottingham University announced the establishment of an international centre for corporate social responsibility, with initial funding of £3.8m provided by British American Tobacco (BAT). To protest aganst their university's acceptance of money from the tobacco industry, an MBA student refused to accept his “student of the year” award; Richard Smith, editor of the BMJ , resigned from his post as professor of medical journalism; a cancer research team decided to relocate; and a member of the European parliament relinquished her roles at the university. Nottingham joins a long list of universities that have accepted funding from the tobacco industry. Other academic institutions have, however, taken the opposite stance and severed their ties with this industry. For example, Brigham and Women's and Massachusetts General hospitals in Boston, the MD Anderson Cancer Center in Houston, the Roswell Park Cancer Institute in Buffalo, and the University of Sydney all have policies precluding acceptance of research funds from the tobacco industry.1 The …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.050 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.042 | 0.033 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".