Dan Malleck and Cheryl Krasnick Warsh(eds), <i>Pleasure and Panic: New Essays on the History of Alcohol and Drugs</i>
Bibliographic record
Abstract
Pleasure and Panic grew out of a symposium on the history of drugs and alcohol held at Vancouver Island University. Rather than focusing on a single psychoactive substance, place, or era, the volume ranges widely over the nineteenth and twentieth centuries, examining various drugs and intoxicants in Canada, the USA and England. The contributors include leading and emerging scholars in the field. Together the essays illuminate how changing popular and medical understandings of the pleasures and perils of psychoactive substances have shaped debates about the government’s role in regulating the use and sale of ‘problematic pleasures’ (p. 19). The volume’s breadth and topical diversity are both a strength and a weakness. The 10 essays reward the reader with their deep research and analytical rigor, but the volume has a bit of a hodge-podge feel. The introduction identifies a broad overarching theme—the ‘perpetual tension between things that are legal but unsavoury or culturally marginal, and those that are illegal but culturally appropriate’ (p. 18)—but it doesn’t fully elaborate a set of tightly developed themes. The editors group the essays into three sections: an opening set of disparate essays united under the rubric of ‘Popular Pleasure and Panic’, followed by another section on the regulation of licit and illicit substances with medicinal applications and a final section on the business of making and selling intoxicating beverages.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.011 |
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".