Exploring Unintended Social Side Effects of Tent Distribution Practices in Post-Earthquake Haiti
Bibliographic record
Abstract
The January 2010 earthquake devastated Haiti’s social, economic and health infrastructure, leaving 2 million persons—one-fifth of Haiti’s population—homeless. Internally displaced persons relocated to camps, where human rights remain compromised due to increased poverty, reduced security, and limited access to sanitation and clean water. This article draws on findings from 3 focus groups conducted with internally displaced young women and 3 focus groups with internally displaced young men (aged 18–24) in Leogane, Haiti to explore post-earthquake tent distribution practices. Focus group findings highlighted that community members were not engaged in developing tent distribution strategies. Practices that distributed tents to both children and parents, and linked food and tent distribution, inadvertently contributed to “chaos”, vulnerability to violence and family network breakdown. Moving forward we recommend tent distribution strategies in disaster contexts engage with community members, separate food and tent distribution, and support agency and strategies of self-protection among displaced persons.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".