Bibliographic record
Abstract
In Gun Control and Women’s Rights in Context: Reflections of the Applicant on Barbra Schlifer Commemorative Clinic v Canada, Amanda Dale not only provides the reader with an embodied account of law that exemplifies the limits of legal discourse, she also offers a compelling (and disheartening) explication of how and why the Stephen Harper government’s repeal of the long-gun registry threatens the lives of women.\nAs Dale points out, gun control in Canada is different from that in the United States. Canadian gun control laws are, of course, much more robust. For example, restricted weapons, such as handguns, have been subject to gun control legislation, including a registry, since 1932. However, a Canadian registry for long guns (shotguns and rifles) was not put into place until 1995 – following a mass shooting in Montreal that engendered significant activism aimed at reducing violence against women. The shooter targeted women and said he was motivated by a hatred of feminists. Noting that most women are shot by people they know and that most domestic violence involving firearms involves legally owned shotguns and rifles, Dale explains the connection between the protection of women’s physical safety and the need for a long-gun registry.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.054 | 0.087 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.013 | 0.016 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".