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Record W2157148197 · doi:10.1177/0963662509104722

Proceeding carefully: Assisted human reproduction policy in Canada

2009· article· en· W2157148197 on OpenAlexafffundabout
Mavis Jones, Brian Salter

Bibliographic record

VenuePublic Understanding of Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsDalhousie University
FundersEconomic and Social Research CouncilCanadian Institutes of Health ResearchHealth CanadaLeverhulme TrustWellcome Trust
KeywordsReproductionJurisdictionElitePolitical scienceFederalistPolicy developmentHuman reproductionState (computer science)Public administrationSociologyLawMedicinePolitics

Abstract

fetched live from OpenAlex

The Canadian Act Respecting Assisted Human Reproduction and Related Research (AHR Act), which came into effect in 2004, was the culmination of fifteen years of policy development in this often controversial field. Drawing from a series of semi-structured elite interviews and extensive documentary research, we examine the path to policy for the AHR Act. We identified several influences on the Act's development, including: (1) feminist-informed activism which found a balance between rejecting the medical model of reproduction and instituting protections against the commodifying potential of reproductive technologies; (2) Canada's proximity to the United States (and its contrasting structures and stances); (3) the role of professional elites in supporting or resisting the proposed regulations; and (4) the tensions between federal and provincial jurisdiction in the Canadian federalist state. The path to this outcome provides an illuminating study of the tensions between internal and external pressures in the policy process.

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 imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.779

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0480.017
Scholarly communication0.0130.003
Open science0.0030.005
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0070.000

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 head0.084
GPT teacher head0.294
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations13
Published2009
Admission routes3
Has abstractyes

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