Self-harm in British South Asian women: psychosocial correlates and strategies for prevention
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To review the rates of self-harm in British South Asian women, look into the factors that contribute to these high rates of self-harm and discuss possible strategies for prevention and provision of culturally sensitive service for South Asian women who harm themselves. METHOD: Review. RESULTS: South Asian women are significantly more likely to self harm between ages 16-24 years than white women. Across all age groups the rates of self harm are lower in South Asian men as compared to South Asian women. These women are generally younger, likely to be married and less likely to be unemployed or use alcohol or other drugs. They report more relationship problems within the family. South Asian women are less likely to attend the ER with repeat episode since they hold the view that mainstream services do not meet their needs. CONCLUSION: South Asian women are at an increased risk of self harm. Their demographic characteristics, precipitating factors and clinical management are different than whites. There is an urgent need for all those concerned with the mental health services for ethnic minorities to take positive action and eradicate the barriers that prevent British South Asians from seeking help. There is a need to move away from stereotypes and overgeneralisations and start from the user's frame of reference, taking into account family dynamics, belief systems and cultural constraints.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it