Social work interventions on intimate partner violence against women in China
Bibliographic record
Abstract
Summary Intimate Partner Violence (IPV) affects approximately one-fifth of women during their lifetime in China. However, limited studies have been conducted in China among women and service providers on IPV. The study reported in this article used an Ecological Model and the Capabilities Perspective integrated with the Advocacy Intervention Model as the theoretical framework for guiding the research and data analysis. This study was part of a participatory project to develop appropriate social work interventions in Guangzhou, China. Findings Twenty-one women who experienced IPV and 30 service providers were interviewed for their views on barriers to help-seeking processes, needs and concerns of this population, and recommendations for any changes. The results of this study clearly suggest that gender inequality is the root cause of IPV against women and prevents women from leaving a violent relationship. Applications The results suggest a number of needed changes at micro, meso, exo, and macro levels and the ways in which social workers can act as advocates for the changes in the context of Guangzhou.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".