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Record W4400999186 · doi:10.1111/ijsw.12692

The illusory correlation between parental alienation and other forms of family violence

2024· article· en· W4400999186 on OpenAlexaboutno aff
Hesam Varavei, Jennifer Harman

Bibliographic record

VenueInternational Journal of Social Welfare · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
Fundersnot available
KeywordsAlienationCorrelationPsychologySocial psychologyDomestic violenceDevelopmental psychologyCriminologyPoison controlHuman factors and ergonomicsPolitical scienceMedicineMathematicsMedical emergencyLaw

Abstract

fetched live from OpenAlex

Abstract There has been considerable public discourse around courts allegedly “dismissing” mother's allegations of domestic violence and child abuse when a father alleges that he is being alienated from his children by their mother. The purpose of this project is to test whether this discourse is based on an illusory correlation. Published court decisions from 200 family court cases in Canada were sequentially selected if parental alienation was alleged to have happened to the father and abuse was alleged to have been perpetrated by the father. Independent coders recorded the investigative outcomes of the court cases regarding alienation and abuse, and whether the mother lost child custody. Results indicate that there is an illusory correlation between family court cases involving both allegations of abuse and parental alienation, and that mothers are generally not losing custody to abusive fathers in such rarely occurring cases.

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)0.006
metaresearch head score (Gemma)0.084
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 score0.007
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.084
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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