Young people’s attitudes to domestic violence and the role of schools in primary prevention : the Indian context
Bibliographic record
Abstract
This thesis examines young people's attitudes to domestic violence in Mumbai, India and explores the under-researched potential of school-based interventions in changing attitudes that justify domestic violence in particular and violence against women in general. While young people's attitudes to violence in intimate relationships and the role of schools in imparting prevention education are currently receiving more attention in countries like Canada, and the UK, school- based preventative work still remains largely unexplored ill India. The empirical research is a mixed methods model using a combination of survey- based and qualitative interview-based methods. A survey was conducted in 14 secondary schools in Mumbai with 2229 school-going young people between the ages of 12 and 15 years (Classes VIII and IX). The quantitative analyses develop multivariate models of individual/household socio-demographic determinants of young peoples' definitions of domestic violence, attitudes to victim blame and attitudes to girls/women provoking violence. Furthermore, these analyses examine the influences of school-related factors, in particular single-sex and coeducational schools, in shaping young people's attitudes to domestic violence. To gain an insight into teachers' awareness/knowledge of domestic violence, and their opinions on the potential preventative role of schools and education both in increasing young people'S awareness of domestic violence and in influencing young people's negative attitudes to domestic violence, the qualitative analyses drew upon data generated by semi-structured iriterviews with 28 school teachers and Principals (head teachers) from the 14 sampled schools. The implications of these findings are discussed in relation to the role of schools in challenging attitudes that condone domestic violence on the one hand and reinforcing gender-stereotypes and reflecting the gender inequalities of wider society on the other. The findings of this study also seek to inform the development of school- based primary prevention programmes in India by identifying factors significantly associated with attitudes that justify domestic violence.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".