‘My body is mine’: Qualitatively exploring agency among internally displaced women participants in a small-group intervention in Leogane, Haiti
Bibliographic record
Abstract
The 2010 earthquake resulted in the breakdown of Haiti's social, economic and health infrastructure. Over one-quarter of a million people remain internally displaced (ID). ID women experience heightened vulnerability to intimate partner violence (IPV) due to increased poverty and reduced community networks. Scant research has examined experiences of IPV among ID women in post-earthquake Haiti. We conducted a qualitative study to explore the impact of participating in Famn an Aksyon Pou Santé Yo (FASY), a small-group HIV prevention intervention, on ID women's agency in Leogane, Haiti. We conducted four focus groups with ID women, FASY participants (n = 40) and in-depth individual interviews with peer health workers (n = 7). Our study was guided by critical ethnography and paid particular attention to power relations. Findings highlighted multiple forms of IPV (e.g., physical, sexual). Participants discussed processes of intrapersonal (confidence), interpersonal (communication), relational (support) and collective (women's rights) agency. Yet structural factors, including patriarchal gender norms and poverty, silenced IPV discussions and constrained women's agency. Findings suggest that agency among ID women is a multi-level, non-linear and incremental process. To effectively address IPV among ID women in Haiti, interventions should address structural contexts of gender inequity and poverty and concurrently facilitate multi-level processes of agency.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".