A Critical Analysis of the use of Attachment Theory in Cases of Domestic Violence
Bibliographic record
Abstract
Social policies and social work practices are increasingly influenced by attachment theory. Women who have been subjected to domestic violence by male partners are being assessed within this discourse, which takes little account of societal perspectives, which sustain injustices and power differentials. Domestic violence is known to be a major social problem but when attachment theory is applied to women and their babies in domestic violence it negates knowledge based in lived experiences. Rather attachment theory is informed by non-gendered family violence perspectives and research instruments, which frame domestic violence within an individualised perspective. In this way, women and their babies are observed and classified without regard for the societal factors, which affect them. In view of this, there is a need for critical social workers to question attachment theory and the positivist research instruments, which are being used to inform theory and practice. Particularly with regard to domestic violence as a gendered, societal issue, a broad perspective, which promotes a social justice view and the need for social change is indispensable.
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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 | 0.017 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.012 | 0.020 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".