Bibliographic record
Abstract
Abstract The public use of the niqab and other religious face coverings is a source of considerable debate in Western nations. The veiled Muslim woman is often constructed as “other,” reviled as backward, represented as in need of rescue, or associated with Islamic extremism. Despite widespread racist attitudes, officially, Canadians purport to support multiculturalism and the equality of all people under the law as guaranteed under section 15 of the Charter. In a recent Supreme Court of Canada decision, R v NS, the Court had to consider the right of a Muslim woman to wear her niqab while testifying in a sexual assault trial. In “balancing” the conflict between the religious rights of NS and the section 7 rights of the accused to a full and fair defense, the Court ignored the security of the person and equality rights of NS. The Court instead legitimated anti-Muslim stereotypes and reiterated rape myths that had ostensibly been overturned.
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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.010 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.017 | 0.023 |
| Insufficient payload (model declined to judge) | 0.012 | 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".