The potential role of social and familial networks in shaping the well‐being of children in shelters for women survivors of intimate partner violence
Bibliographic record
Abstract
Abstract Children living in households where severe intimate partner violence (IPV) exists sometimes move with their mothers to shelters for battered women. Although there is an increased interest in research exploring children's exposure to IPV, little is known about children's subjective experiences during their stay in shelters. The present study examines children's views of their disconnection from their social and familial networks during their stay in a shelter. Using qualitative methods, 32 children, ages 7–12 years, who resided in a shelter were interviewed. Thematic analysis was implemented to develop codes and themes. The following five themes emerged from the data analysis: (a) absence of grandparents, (b) worry about older siblings, (c) disconnection from the neighbourhood, (d) missing their house and (e) disconnection from previous school and classmates. Findings suggest that children's disconnection from previous formal and informal networks significantly affected their well‐being. The findings are discussed and interpreted in light of selected key concepts of Bronfenbrenner's bioecological model. The limitations of this study are discussed, along with implications for future research, as well as highlights for future intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".