Bibliographic record
Abstract
Sexual Assault in Canada is the first English-language book in almost two decades to assess the state of sexual assault law and legal practice in Canada. Gathering together feminist scholars, lawyers, activists and policy-makers, it presents a picture of the difficult issues that Canadian women face when reporting and prosecuting sexual violence. The volume addresses many themes including the systematic undermining of women who have been sexually assaulted, the experiences of marginalized women, and the role of women’s activism. It explores sexual assault in various contexts, including professional sports, the doctor–patient relationship, and residential schools. And it highlights the influence of certain players in the reporting and litigation of sexual violence, including health care providers, social workers, police, lawyers and judges. Sexual Assault in Canada provides both a multi-faceted assessment of the progress of feminist reforms to Canadian sexual assault law and practice, and articulates a myriad of new ideas, proposed changes to law, and inspired activist strategies. This book was created to celebrate the tenth anniversary of Jane Doe’s remarkable legal victory against the Toronto police for sex discrimination in the policing of rape and for negligence in failing to warn her of a serial rapist. The case made legal history and motivated a new generation of feminist activists. This book honours her pioneering work by reflecting on how law, legal practice and activism have evolved over the past decade and where feminist research and reform should lead in the years to come.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".