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Record W2338784354

‘A Delicate Necessity’: Bruker v. Marcovitz and the Problem of Jewish Divorce

2008· article· en· W2338784354 on OpenAlexaffabout
John C. Kleefeld, Amanda Kennedy

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAppealJudaismSupreme courtLawWifePolitical scienceMulticulturalismSociologyPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

The authors use the Supreme Court of Canada's decision in Bruker v. Marcovitz as a lens for examining the problem of Jewish divorce, which pits two religious freedoms against each other: a man’s freedom not to grant a get or Jewish divorce to his wife, and his wife’s freedom to remarry according to the tenets of Judaism. The authors outline the case history starting with the decisions of the Quebec Superior Court and Court of Appeal, explain the questions that the majority and minority asked themselves in the Supreme Court of Canada, and conclude by analyzing that Court’s decision and its implications for Jewish spouses and spouses of other religious minorities going through the divorce process. First, though, the authors explain the nature of a get, the consequences of not obtaining one, and the responses of both Jewish and secular law, all crucial to understanding how Bruker v. Marcovitz was decided and how comparable cases should be decided in a multicultural society like Canada.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0330.023
Scholarly communication0.0080.003
Open science0.0030.004
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2008
Admission routes2
Has abstractyes

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