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Record W2284449078

Who Influences Family Law Reform? Discourses on Motherhood and Fatherhood in Legislative Reform Debates in Canada

2002· article· en· W2284449078 on OpenAlexaffabout
Susan Boyd, Claire Young

Bibliographic record

VenueeYLS (Yale Law School) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLegislatureChild supportCompromiseLegislationLaw reformAlienationFamily lawPolitical scienceChild custodyEnforcementHouse of CommonsLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

This article examines resistance to law reform initiatives in the field of child support and child custody and access law by those who say that special rights are being given to women and that the “family” and fathers are under threat. Specifically we consider whether legislative reforms in these areas have been inappropriately influenced by feminists, as many fathers’ rights groups would argue, and we try to determine who set the agenda for the legislative changes that occurred in Canada duri8ng the late 1960s to the mid-1980s. Relying on debates in the House of Commons and parliamentary committees, our findings are that the interests of women did not receive preferential treatment. The debates on support enforcement focused more on the need to protect the state from financial responsibility for the “victims” of divorce than on the economic needs of women and children. During the 1980s especially, men’s defaults in support payments were increasingly linked to the alienation of fathers from their children. This concern about paternal alienation, combined wit the assumption that the law had gone too far in terms of favoring women over men, resulted in legislation on child custody and access that reflected a compromise which generated new difficulties for mothers in custody disputes.

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 score0.507
Threshold uncertainty score0.853

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.271
Teacher spread0.248 · 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

Citations15
Published2002
Admission routes2
Has abstractyes

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