Bibliographic record
Abstract
adults, 1993-2002. Am J Prev Med. 2003;28:346-350. 16. Roizen J. Epidemiological issues in alcohol-related violence. Recent Dev Alcohol. 1997;13:7-40. 17. Swahn MH, Simon TR, Hammig BJ, Guerrero JL. Alcohol consumption behaviors and risk for physical fighting and injuries among adolescent drinkers. Addict Behav. 2004;29:959-963. 18. Macdonald S, Cherpitel CJ, Borges G, DeSouza A, Giesbrecht N, Stockwell T. The criteria for causation of alcohol in violent injuries based on emergency room data from six countries. Addict Behav. 2005;30:103-113. 19. Fagan J. Intoxication and aggression. In: Tonry M, Morris N, eds. Crime and Justice: A Review of Research. Chicago, Ill: University of Chicago Press; 1990: 241-320. 20. Babor TF, Caetano R, Casswell S, et al. Alcohol: No Ordinary Commodity— Research and Public Policy. New York, NY: Oxford University Press; 2003. 21. Chaloupka F. The effects of price on alcohol use, abuse, and their consequences. In: Bonnie R, O’Connell ME, eds. Reducing Underage Drinking: A Collective Responsibility. Washington, DC: National Academies Press; 2004. 22. Sloan FA, Reilly BA, Schenzler C. Effects of tort liability and insurance on heavy drinking and drinking and driving. J Law Econ. 1995;38:49-77. 23. Markowitz S, Grossman M. The effects of beer taxes on physical child abuse. J Health Econ. 2000;19:271-282. 24. Centers for Disease Control and Prevention. Enhanced enforcement of laws to prevent alcohol sales to underage persons—New Hampshire, 1999-2004. MMWR Morb Mortal Wkly Rep. 2004;53:452-454. 25. Fleming MF, Barry KL, Manwell LB, Johnson K, London R. Brief physician advice for problem drinking. JAMA. 1997;277:1039-1045. 26. US Preventive Services Task Force. Screening for Alcohol Misuse. Rockville, Md: Agency for Healthcare Research and Quality. April 2004. Available at: http: //www.ahrq.gov/clinic/uspstf/uspsdrin.htm. Accessibility verified June 28, 2005.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 | 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 | 0.003 |
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".