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Record W1592407072

Equal Choice, Equal Benefit: Gendered Disability and the Regulation of Assisted Human Reproduction in Canada

2009· article· en· W1592407072 on OpenAlexaboutno aff
Estair Van Wagner

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2009
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ReproductionPolitical scienceHumanitiesInterdictionReproductive technologyEthnologyReproductive rightsCharterSociologyLawGeographyPopulationPhilosophyReproductive healthBiologyDemography
DOInot available

Abstract

fetched live from OpenAlex

La reglementation concernant la technologie reproductive au Canada est publiee au fur et a mesure que la Loi concernant la procreation assistee entre en vigueur . Le present article explore la possibilite que le Canada suive l’exemple d’autres juridictions en interdisant l’utilisation d’un diagnostique genetique prealable a l’implantation pour effectuer une « selection positive » des embryons selon leurs caracteristiques genetiques. L’impact d’une telle interdiction est analyse, a partir d’une perspective feministe et critique, dans le contexte d’un handicap en fonction du genre. L’article conclut qu’une telle interdiction serait susceptible de faire l’objet d’une contestation judiciaire, fondee sur l’article 15 de la Charte canadienne des droits et libertes. Abstract: Canada’s regulatory framework for reproductive technology is emerging as the Assisted Human Reproduction Act is brought into force. This article considers the possibility that Canada would follow other jurisdictions in prohibiting the use of pre-implantation genetic diagnosis for the “positive selection” of embryos with genetic conditions. The impact of such a prohibition is considered in the context of gendered disability from a feminist and a critical disability perspective. The article concludes that a prohibition would be vulnerable to a legal challenge on the basis of section 15 of the Canadian Charter of Rights and Freedoms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
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 head0.036
GPT teacher head0.267
Teacher spread0.231 · 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 designObservational
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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueProject Muse (Johns Hopkins University)Same topicReproductive Health and TechnologiesFrench-language works237,207