MétaCan
Menu
Back to cohort
Record W2056521696 · doi:10.1108/17596599200900011

Domestic violence and child custody: are family court professionals' decisions based on erroneous beliefs?

2009· article· en· W2056521696 on OpenAlexaff
John Hamel, Sarah L. Desmarais, Tonia L. Nicholls, Kathleen Malley‐Morrison, Jon Aaronson

Bibliographic record

VenueJournal of Aggression Conflict and Peace Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFamily courtPsychologyChild custodyContext (archaeology)Domestic violenceFamily lawSocial psychologyBest interestsHuman factors and ergonomicsCriminologyLawPoison controlPolitical scienceMedicineMedical emergency

Abstract

fetched live from OpenAlex

If child custody decisions are based on erroneous beliefs, family courts may not be acting in the best interests of children. This study examined family court professionals' beliefs about family violence. Respondents (N = 410) of diverse professions, including child custody mediators, evaluators, and therapists, family law attorneys and judges, victim advocates and university students, completed a 10‐item multiple‐choice quiz. Results revealed low rates of correct responding, with respondents correctly answering approximately three out of 10 items on average, based on current research in the field. Overall, response rates were highly consistent with the discredited patriarchal paradigm. Shelter workers and victim advocates had the lowest average score, and men were found to have slightly higher scores than women. More troubling, students' scores were not significantly lower than those of family court professionals. Implications are discussed with respect to decision‐making in the context of child 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 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)0.005
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.080
GPT teacher head0.446
Teacher spread0.366 · 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 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

Citations21
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Aggression Conflict and Peace ResearchSame topicIntimate Partner and Family ViolenceFrench-language works237,207