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Record W4405951625 · doi:10.1111/cfs.13260

Abused Women as ‘Alienating’ Mothers and Violent Men as ‘Good’ Fathers: Double Standards in Child Protection and Child Custody Proceedings

2024· article· en· W4405951625 on OpenAlexafffund
Simon Grandjean Lapierre, Patrick Ladouceur, Naomi Abrahams, Alexandra Vincent, Michèle Frenette

Bibliographic record

VenueChild & Family Social Work · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsLaurentian UniversityUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChild protectionPsychologyChild custodyChild abuseDomestic violenceSuicide preventionCriminologyPoison controlMedicineEnvironmental healthNursing

Abstract

fetched live from OpenAlex

ABSTRACT Drawing upon multiple case studies, this article examines how parenting double standards are reproduced in situations where women who have experienced domestic violence have been seen as ‘alienating’ mothers, while the men who have perpetrated the violence have been seem as ‘good’ or ‘good enough’ fathers. In total, 25 cases studies were conducted with women who had experienced domestic violence, had at least one child and had been perceived by at least one professional as ‘engaging in parental alienation’ at some point within the previous 5 years. Each case study involved at least one semi‐structured interview with the woman and the analysis of relevant documents, including family evaluation reports, child protection reports and court decisions. These double standards were identified when the mothers' and the fathers' behaviours and circumstances had been measured or evaluated using a different set of principles. The research findings reveal different main manifestations of parenting double standards, which relate to the parents' credibility and the parents' past and personal histories. Moreover, the fact that the parents talk to the children about the other parent is perceived differently when mothers and fathers are doing it. Professionals also reproduce double standards when they minimize and the justify the parents' ‘inappropriate’ behaviours and when they consider the parents' help‐seeking strategies.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.271
Teacher spread0.261 · 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.

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

Citations8
Published2024
Admission routes2
Has abstractyes

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