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Record W2575386710 · doi:10.1017/jlr.2016.36

WHAT'S THE HARM IN POLYGAMY? MULTICULTURAL TOLERATION AND WOMEN'S EXPERIENCE OF PLURAL MARRIAGE

2016· article· en· W2575386710 on OpenAlexaboutno aff
Lisa Fishbayn Joffe

Bibliographic record

VenueJournal of Law and Religion · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsLawSupreme courtConstitutionalityCharterPolitical scienceConstitutionFreedom of religionDutyTolerationSubstantive due processDue Process ClauseJurisdictionSociologyHuman rights

Abstract

fetched live from OpenAlex

The last decade has seen the publication in North America of a plethora of academic books and articles about polygamy. The most important texts on the subject, however, are two court rulings evaluating the constitutionality of criminal prohibitions against the practice of polygamy. Informed by and in dialogue with this academic discourse, these courts arrived at dramatically different conclusions. In Reference re s. 293 of the Criminal Code of Canada , the Supreme Court of British Columbia determined that while Mormon fundamentalist polygamists had religious freedom rights under Section 2 of the Canadian Charter of Rights and Freedoms to practice this aspect of their bona fide religious faith, the government of Canada was justified in limiting this right under Section 1 of the Charter. Prohibiting polygamy was necessary, the court found, in order to prevent the real and substantial risk of harm that it posed to women and children. 1 Conversely, in the United States, a trial-level court in Utah issued a summary judgment finding that a criminal prohibition against polygamous religious marriages violated the rights to freedom of religion under the First Amendment, and due process rights guaranteed by the 14th Amendment to the US Constitution. This judgment focused on the state's duty to tolerate minority religious practices, while downplaying the potential risks of polygamy to practitioners and their children. 2

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.124

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 head0.025
GPT teacher head0.314
Teacher spread0.289 · 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 designQualitative
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

Citations3
Published2016
Admission routes1
Has abstractyes

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