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Record W2149554426 · doi:10.1017/s1744552311000395

Calculating claims: Jewish and Muslim women navigating religion, economics and law in Canada

2012· article· en· W2149554426 on OpenAlex
Pascale Fournier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Law in Context · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsJudaismNegotiationSociologyNarrativeOppressionLawFamily lawReligious lawReligious identityGender studiesPolitical scienceEconomicsIslam

Abstract

fetched live from OpenAlex

Abstract This article presents an empirical study of Jewish and Muslim women who go through divorce in Canada, drawing on a ‘left law and economics’ methodology. Religious law and family law have long been considered outside the market and, as a result, are more rarely accounted for in the law and economics literature. According to dominant narratives, religious family law is experienced by women either as an exceptional form of oppression or as a form of spiritual religious identity. In this article, I apply a ‘left law and economics’ approach to deconstruct these notions. On the basis of my socio-legal fieldwork with Jewish and Muslim women in three Canadian cities, I identify the background formal and informal legal rules, social norms and distributional practices that help produce asymmetric bargaining locations for women. I employ the economic language of costs/benefits to illustrate the ways in which religious parties bargain strategically upon divorce, although these market claims are surprisingly underrecognised by the legal system. Such empirical knowledge helps disenchant the idea that religious law is systematically used as punishing forces that make women worse off economically or morally inferior. It also allows for a distributive analysis which reveals how husbands and wives negotiate economic resources, desires and day-to-day decisions in all kinds of fair and unfair ways, flying in the face of conventional narratives surrounding women and religion.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.032
GPT teacher head0.314
Teacher spread0.282 · 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