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Record W2606561130 · doi:10.29173/alr768

Donor Anonymity in Canada: Assessing the Obstacles to Openness and Considering a Way Forward

2017· article· en· W2606561130 on OpenAlexaffvenueabout
Vanessa Gruben, Angela Cameron

Bibliographic record

VenueAlberta Law Review · 2017
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAnonymityLegislatureOpenness to experienceFamily lawLawCharterReproductionPolitical scienceLaw reformDonationLimitingStatutory lawSperm donationLaw and economicsBusinessSociologyEngineeringMedicineBiologyPsychology

Abstract

fetched live from OpenAlex

This article discusses donor anonymity in Canada and the need for law reform in this area. Currently, assisted reproduction is regulated by both the provincial and federal governments, meaning this area is regulated in a piecemeal fashion. Disclosure of donor identifying and non-identifying factors is restricted to limited information, utilized only to keep statistical records. Due to the law limiting identifying information, donor-conceived persons struggle in their attempt to discover their genetic origins. Further, provincial family law does not recognize third party reproduction, which leaves modern family units unprotected. A definition of openness in gamete donation is given in Part II. Part III addresses the law-making and assisted reproduction difficulties arising from the division of powers. Part IV analyzes the potential impact of federal prohibitions on the purchase of sperm and eggs and whether disclosing a donor’s identity will negatively impact gamete supply in Canada. The final two sections discuss the failure of provinces to enact family laws which protect the parental status of intended parents and how past cases under the Canadian Charter of Rights and Freedoms have been challenging for donor-conceived persons. The authors propose that reform should be dealt with by the legislature in four areas: provincial family law reform where necessary; robust and meaningful public consultation; interprovincial cooperation if possible; and, consideration of law reform in other jurisdictions

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.053
GPT teacher head0.353
Teacher spread0.300 · 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

Citations2
Published2017
Admission routes3
Has abstractyes

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