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Record W4412384313 · doi:10.1177/21533687251356285

Challenges in Shared Parenting Among Racial Minority Women Survivors of Domestic Violence With Young Children

2025· article· en· W4412384313 on OpenAlexafffund
Dora M. Y. Tam, Beth Archer‐Kuhn, Natalie Beltrano, Diane I. N. Trudgill, Tugce M. S. Bozalioglu

Bibliographic record

VenueRace and Justice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of WindsorUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDomestic violencePsychologyDevelopmental psychologyCriminologyPoison controlHuman factors and ergonomicsMedicineMedical emergency

Abstract

fetched live from OpenAlex

This paper reports findings from a mixed-methods study, which aimed to examine challenges in shared parenting among racial minority women survivors of domestic violence who have a young child under the age of 4. Fifteen racial minority women were among the 84 respondents who first participated in an online questionnaire survey to study shared parenting experiences. Based on the questionnaire survey findings, we developed semi-structured questions and invited the surveyed women to participate in an in-depth individual interview. Five of the 15 racial minority women who participated in the survey were interviewed. These five women were no longer in their heterosexual relationships with the perpetrator of violence. From the quantitative data analysis, racial minority women in this study more frequently experienced physical hurt, excessive texting from ex-partners, self-reported anxiety, financial hardship, and a lack of social support, compared with the non-racialized participants. Findings from the qualitative interviews suggest that racial minority women in this study shared strong resilience in coping with all of these challenges. They value family ties, choose to forgo the court system, stay positive, and embrace new intimate relationships. This paper shares rare and valuable findings from these racial minority women survivors and discusses implications on education and practice for service providers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.041
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.307
Teacher spread0.288 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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