Reflection on the legal status on sterilization in contemporary Canada
Bibliographic record
Abstract
In light of its past eugenic use, and its often irreversible nature, non-therapeutic sterilization, the result of which is to deprive an individual of his/her capacity to procreate, has always enjoyed a particular status and its use and legal status engendered debate, discussion and controversy. The purpose of this dissertation is to determine under which conditions non-therapeutic sterilization can lawfully be performed under Canadian law. Whereas the legality of non-therapeutic sterilization when voluntarily consented to by a competent individual is today established in all Canadian provinces, it appears that Quebec is the only province to allow non-therapeutic sterilization to be performed on an individual lacking through age and/or disability the necessary capacity to consent, common law provinces denying any beneficial aspects to the procedure. The law on involuntary non-therapeutic sterilization however lacks clarity, certainty and consistency, a legislative reform is therefore advocated.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.032 | 0.024 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".