An Examination of Legal and Ethical Issues Surrounding Male Circumcision: The Canadian Context
Bibliographic record
Abstract
Despite shifts in the discourses adopted and reinforced within the Canadian medical community and the international community, routine neo-natal male circumcision remains fairly normalized. Focusing on the Canadian context, this paper outlines the health-based and legal arguments against elective infant male circumcision. Part one provides an overview of routine neo-natal male circumcision and deals with the crucial distinction between therapeutic and non-therapeutic intervention. It locates elective neo-natal male circumcision within the non-therapeutic category. Part two outlines the theoretical underpinnings for medical consent in the Canadian context, and discusses the legal requirements for 'informed consent'. The work of part three is to tease out issues of parental consent and whether parents should be entitled to substitute consent for non-medically necessary, routine, neo-natal circumcision.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.048 | 0.025 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".