Community‐Scale Damage, Disruption, and Early Recovery in the 2010 Haiti Earthquake
Bibliographic record
Abstract
This study seeks to assess the levels of community‐scale building damage and socioeconomic disruption following the January 2010 Haiti earthquake. Damage and disruption were analyzed for pre‐event, post‐event, and early recovery time periods in seven Haitian communities—three inside and four outside Port‐au‐Prince. Damage datasets from the Global Earth Observation‐Catastrophe Assessment Network (GEO‐CAN) postdisaster assessment were combined with analyses of fine‐resolution satellite and aerial imagery to quantify building damage and recovery status, and were verified with field data. Disruption was assessed using community‐level data obtained from interviews conducted in May 2010 with community leaders, NGOs, and government utility providers. The data pertain to 11 sectors, including shelter, livelihoods, and social networks. The findings document severe disruption and uneven restoration four months after the earthquake. Disruption showed little correlation with physical damage. Observations suggest that the impacts of the earthquake must be understood in the context of chronic disruption, and many consequences of the earthquake are merely deferred during recovery.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".