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Record W144829730 · doi:10.29173/alr398

Comparative Perspectives on the Regulation of Assisted Reproductive Technologies in the United Kingdom and Canada

2015· article· en· W144829730 on OpenAlexaffvenueabout
Erin Nelson

Bibliographic record

VenueAlberta Law Review · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsLawson Health Research Institute
FundersMedical Research CouncilGovernment of the United Kingdom
KeywordsLegislationAgency (philosophy)Reproductive technologyReproductionHuman reproductionThe artsKingdomPolitical scienceLawGovernment regulationSociologyBiologyEmbryoGeneticsSocial science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.126
GPT teacher head0.354
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2015
Admission routes3
Has abstractyes

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