MétaCan
Menu
Back to cohort

DIVORCE AND THE FAMILY COURT: WHAT CAN BE DONE ABOUT DOMESTIC VIOLENCE?

2008· article· en· W1964793103 on OpenAlex

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.

Bibliographic record

VenueFamily Court Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsYork University
Fundersnot available
KeywordsDomestic violencePsychologyCriminologySocial psychologyHuman factors and ergonomicsPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

Approximately 50% of couples who have separated report being victims of violence and/or emotional abuse by their former intimate partners. Family courts can make an important contribution toward reducing the number of intimate partners who report being victims of domestic violence and abuse during and following their participation in divorce proceedings in three ways. First, increase opportunities for participation in nonadversarial procedures. Second, implement mandatory assessment/screening for domestic violence using field‐tested instruments that link subscores on sets of items (e.g., control motivated violence, conflict instigated violence/abuse, substance abuse associated violence/abuse) with appropriate community‐based treatments and/or resources. Third, educate family court judges, lawyers, mediators, and other court personnel in the dynamics of domestic violence generally, as well as the dynamics associated with separation/divorce.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.477
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.038
GPT teacher head0.327
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