Challenges in Shared Parenting Among Racial Minority Women Survivors of Domestic Violence With Young Children
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".