Bibliographic record
Abstract
Despite Canada's reputation as a beacon in the international struggle for gay rights, homophobia and homophobic violence remain major problems across the country.Since 1990, hundreds of gay, lesbian, bisexual, and transgendered people have been assaulted or murdered in Canada, but so far the phenomenon has been largely ignored in Canadian criminology texts and other scholarly works.Pink Blood is the first book to analyse homophobic violence in Canada on a national scale.Douglas Victor Janoff uses legal records, case studies, and interviews with victims, activists, and police officers from thirty cities to convey the devastating impact this violence has had on queer Canadians and on the communities they inhabit.Janoff critically examines common public perceptions and police attitudes and practices, as well as hate crime legislation and policies that, despite good intentions, are often powerless to counteract this serious and complex social problem.Drawing from a wide range of scholarship in law, criminology, sociology, psychology, philosophy, and social work, Pink Blood is a groundbreaking work from a respected researcher and community activist.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.834 | 0.630 |
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".