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Record W176260885

Giving Away the 'Gift of Life': Surrogacy and the Canadian Assisted Human Reproduction Act

2007· article· en· W176260885 on OpenAlexaffabout
Rakhi Ruparelia

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIdeal (ethics)ReproductionContext (archaeology)Egg donationFamily lawRelation (database)SociologyLawHuman reproductionEnvironmental ethicsLaw and economicsPolitical scienceHistoryMedicineBiology
DOInot available

Abstract

fetched live from OpenAlex

Through the recently passed Assisted Human Reproduction Act, Canada has chosen to explicitly prohibit commercial surrogacy, while remaining silent on the issue of noncommercial or surrogacy. Although concerns about surrogacy arrangements tend to be raised only in relation to commercial surrogacy, many of the issues in question are opposite to the altruistic context as well. Indeed, the potential for exploitation may be even greater in noncommercial surrogacy. The author argues that the present framework of viewing altruistic surrogacy as morally acceptable is based on a western ideal of women's ability to make decisions freely in the family. This ideal is not only inaccurate in the western family model, but is particularly problematic for cultures in which patriarchal norms relegate women to vulnerable and relatively powerless positions within the family and society as a whole. Ultimately, the new Canadian law represents a harmful policy choice for women of all communities because it explicitly condemns one form of surrogacy, while at the same time implicitly approving another potentially more dangerous form.

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)0.009
metaresearch head score (Gemma)0.002
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 score0.619
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.018
GPT teacher head0.295
Teacher spread0.277 · 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

Citations25
Published2007
Admission routes2
Has abstractyes

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