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Record W172839532 · doi:10.29173/alr319

Gender, Biology, and Third Party Custody Disputes

2009· article· en· W172839532 on OpenAlexvenueaboutno aff
Wanda Wiegers

Bibliographic record

VenueAlberta Law Review · 2009
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPrivilege (computing)Context (archaeology)Child custodyTest (biology)De factoLawFamily lawAffect (linguistics)SociologyPsychologyPolitical scienceCriminologyBiology

Abstract

fetched live from OpenAlex

This article explores the significance of gender difference in the custodial claims of biological parents where de facto care of children has been transferred to unrelated parties. Drawing on media accounts, the trial transcript, and the 2007 decision in Hendricks v. Swan (the “Saskatoon Dad” case), as well as an extensive survey of similar reported cases, the author identifies changes in the construction of birth mothers and genetic fathers over time, both as claimants and non-claimants of custody. The author contends that despite significant differences in their biological roles, mothers and fathers are constructed as formally equal claimants in this context. Both mothers and fathers nonetheless lose out more often than not to third parties, often on grounds of instability rather than bonding. The role of gender in the application of the best interests test to claims by biological parents, particularly the extent to which gendered norms affect assessments of stability, is analyzed. In relation to biological non-claimants, the author addresses the erasure of the birth mother’s experience in Hendricks through the use of a formal equality lens and examines assumptions regarding non-disclosure of paternity that privilege the interests of genetic fathers. In conclusion, potential ways of avoiding or minimizing the trauma associated with these cases are briefly canvassed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.043
GPT teacher head0.360
Teacher spread0.317 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2009
Admission routes2
Has abstractyes

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