Post-earthquake Haiti: the critical role for rehabilitation services following a humanitarian crisis
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
The earthquake that occurred in Haiti on 12 January 2010 resulted in massive infrastructure damage, and created one of the largest single-day loss of life events in modern history. Despite the tragic mortality rates, many people with catastrophic injuries including spinal cord injuries and amputations survived due to swift emergency responses by local and international non-governmental organisations (NGOs). The outcome however is that Haiti now has a considerable cohort of people who live with important disabilities. In this 'perspectives in rehabilitation' we share our experiences of working in post-earthquake Haiti, and highlight that this event has raised awareness of the critical importance of providing rehabilitation services during and after a humanitarian crisis of this magnitude.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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