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Record W3142277172

“Putting the Child First”: A Necessary Step in the Recognition of the Right to Identity

2011· article· en· W3142277172 on OpenAlexaboutno aff
Michelle Giroux, Mariana de Lorenzi

Bibliographic record

VenueeYLS (Yale Law School) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)SociologyArtAesthetics
DOInot available

Abstract

fetched live from OpenAlex

In recent years, the number of nations which have banned the anonymous character of gamete donations has increased, including nations that once strongly supported such a position. This shift in national legislative policy worldwide has aided a growing recognition of the right to know one's origins in international law and gives a wider effect to this fundamental right. In Canada, while there has been discussion about the importance of the right to know one's biological origins, this right has not been universally guaranteed through legislation, either to adoptees or to the donor-conceived. This article refers mostly to Québec legislation, but combines analyses of Québec civil law and common law with continental European legal developments, which can assist legislative reform across the country. The authors are defending the existence of a fundamental right of the child to know his or her biological origins as part of the right to identity protected by the UN Convention on the Rights of the Child (CRC) and are therefore focusing on the perspective of the child. Pursuant to the recent Supreme Court of Canada decision in Renvoi, which partially invalidated the federal legislation that regulated assisted human reproduction, this article takes a position in favour of provincial and territorial law reform that would explicitly recognize the right of the child to know his or her biological origins and ban anonymity in the context of gamete donation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.218
Teacher spread0.186 · 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.

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
Published2011
Admission routes1
Has abstractyes

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