Bibliographic record
Abstract
I am sure that historians of alcohol and drugs quickly grow tired of people suggesting with a nudge and a wink that "the field research must be fantastic."Yes, it was fantastic, but not for the dissolute reasons suggested in the nudges and winks.Research for this project gave me the opportunity to work and consult with a variety of fantastic people, and although I will never remember all of their names, I will never forget their assistance.The hard-working staff members of the Archives of Ontario have been especially helpful.Having to deal with a researcher whose requests for literally hundreds of boxes of files at each visit overwhelmed their storage capacity must have been one of the more onerous frustrations of their work.Ana Cassanova was most notably patient and competent in her assistance.The Access to Information staff helped me to negotiate the intricacies of the regulations, and I remain indebted especially to Ron Ward, who fielded too many questions from someone who, although critical of the process of government regulation, had internalized enough of the state-control discourse to want to do the right thing.Beyond archival staff, a number of colleagues have provided valuable insight and support.Craig Heron's work and collegiality have been especially important.Having dug through the same sorts of materials for a project that far exceeds this one in quality, he has provided insight and ideas, discussions over pints, and a place to stay, all of which will remain some of the highlights of this field research.He read the entire manuscript at a late stage, and his thoughts, insights, and encouragement were invaluable.Members of the Al cohol and Drugs History Society (ADHS), that brilliant, sodden rabble whose field research is equally fantastic, have provided forums for discussion and insightful analyses that have opened up a variety of areas of new research and additional neuroses.James Nicholls, especially, suggested links between the Liquor Control Board of Ontario and the British Central Control Board (Liquor Traffic) that I have not yet fully explored.These links forced me to think more about the connection between different ideas of liquor regulation
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.353 | 0.227 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".