Comparative Perspectives on the Regulation of Assisted Reproductive Technologies in the United Kingdom and Canada
Bibliographic record
Abstract
This article highlights some concerns with the regulatory structure envisioned by Canada's new Assisted Human Reproduction Act, principally by comparing Canada's proposed Assisted Human Reproduction Agency (AHRA) with the United Kingdom's Human Fertilisation and Embryology Authority (HFEA). The article elaborates on the past and present regulation of ARTs in both Canada and the United Kingdom, using the current regulation of preimplantation genetic diagnosis by the HFEA as an example. The author notes that there is considerable cause for concern over the ability of the AHRA to effectively regulate ARTs, and cautions that Canada's proposed regulatory structure may serve only to reignite the debate around the moral status of the embryo that featured so prominently in the debate over the legislation itself.
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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.011 | 0.006 |
| 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".