Access to Assisted Conception: A Call for Legislative Reform in Light of the Modern Family (<i>Susan Doe v. Attorney General of Canada</i>)
Bibliographic record
Abstract
This paper explores the impact of laws regarding assisted conception and the discriminatory effect these laws have in light of non-traditional family forms. Specifically, it considers the Processing and Distribution of Semen for Assisted Conception Regulations and how these regulations serve to exclude certain individuals who do not fit into the "traditional" nuclear family model. The author critiques the judgement of Susan Doe v. Attorney General of Canada and calls for legislative reform in order for the laws to accurately reflect realities of the family in the 21st century.
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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 | 0.034 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.040 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.032 | 0.028 |
| Insufficient payload (model declined to judge) | 0.004 | 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".