Smoke Filled Rooms: A Postmortem on the Tobacco Deal; Tobacco Control: Comparative Politics in the United States and Canada
Bibliographic record
Abstract
Book Review| April 01 2006 Smoke Filled Rooms: A Postmortem on the Tobacco Deal; Tobacco Control: Comparative Politics in the United States and Canada W. Kip Viscusi. Smoke Filled Rooms: A Postmortem on the Tobacco Deal. Chicago: University of Chicago Press, 2002. 263 pp. $27.50 cloth.Donley T. Studlar. Tobacco Control: Comparative Politics in the United States and Canada. Peterborough, Ontario: Broadview, 2002. 327 pp. $19.95 paper. Theodore R. Marmor Theodore R. Marmor Search for other works by this author on: This Site Google J Health Polit Policy Law (2006) 31 (2): 375–384. https://doi.org/10.1215/03616878-31-2-375 Cite Icon Cite Share Icon Share Twitter Permissions Search Site Citation Theodore R. Marmor; Smoke Filled Rooms: A Postmortem on the Tobacco Deal; Tobacco Control: Comparative Politics in the United States and Canada. J Health Polit Policy Law 1 April 2006; 31 (2): 375–384. doi: https://doi.org/10.1215/03616878-31-2-375 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsJournal of Health Politics, Policy and Law Search Advanced Search The text of this article is only available as a PDF. Duke University Press2006 Article PDF first page preview Close Modal You do not currently have access to this content.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".