Surviving Gender-Based Violence: A Social Ecological Approach to Migrant and Refugee Women's Resilience
Bibliographic record
Abstract
Abstract: Many migrant and refugee women (MRW) experience different forms of gender-based violence (GBV) along the migratory pathway. GBV is rooted in intersecting structures of domination and extends beyond individual experiences to include the failure of policies and practices to protect women. In this article, through the lenses of "key informants" (KIs), we explore how MRW express resilience to GBV in the face of intersecting structural inequalities through resisting, adapting individual behaviours, navigating to resources and transforming relationships and self. Furthermore, drawing upon social ecological approaches to resilience, we examine the factors and processes of building resilience to GBV by MRW at the individual, relational, community and societal levels in Canada. Our research findings are based on thematic analysis of 43 qualitative interviews with KIs who are counsellors, shelter staff and directors, government staff, and settlement workers who provide services to MRW. Our empirical findings contribute to the research literature by identifying and fleshing out the particular expressions, complexities, supporting factors and processes of resilience to GBV by MRW in Canada. Résumé: De nombreuses femmes migrantes et réfugiées (FMR) subissent différentes formes de violence sexiste (VS) tout au long de leur parcours migratoire. La VS est ancrée dans des structures de domination qui se croisent et va au-delà des expériences individuelles pour inclure l'échec des politiques et des pratiques à la protection des femmes. Dans cet article, nous explorons, avec la perspective des "informateurs clés" (IC), la manière dont les femmes migrantes expriment leur résilience à la violence liée au sexe face aux inégalités structurelles qui se croisent, en résistant, en adaptant leurs comportements individuels, en accédant à des ressources et en transformant leurs relations et leur personnalité. En outre, en nous appuyant sur les approches socio-écologiques de la résilience, nous examinons les facteurs et les processus de renforcement de la résilience à la violence liée au sexe chez les femmes migrantes aux niveaux individuel, relationnel, communautaire et social au Canada. Les résultats de notre recherche sont basés sur l'analyse thématique de 43 entretiens qualitatifs avec des ICs qui sont des conseillers, des employés et des directeurs de refuges, des fonctionnaires et des travailleurs de l'établissement qui fournissent des services aux FMR. Nos résultats empiriques contribuent à la littérature de recherche en identifiant et en étoffant les expressions particulières, les complexités, les facteurs de soutien et les processus de résilience à la violence liée au sexe des FMR au Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".