Humanitarian Response by NGOs to the 2010 Haiti Earthquake: Expectations vs. Realities
Bibliographic record
Abstract
A rising interest and participation from high-income countries in global health initiatives has been driven by increasing visibility and opportunities such as volunteering with non-profit organizations to provide healthcare. Thus, there must be a conscious effort to avoid further ingraining structures of inequality present in global health. This is particularly important in the context of Haiti’s post-earthquake recovery and the role of international aid. This paper examines the impact of international non-governmental organizations (INGOs) on healthcare and maternal mortality in post-earthquake Haiti. Before the 2010 earthquake, Haiti was known as the “Republic of NGOs,” yet the INGOs’ interventions often proved ineffective. The wake of the earthquake provided an opportunity for progress but resulting efforts from INGOs fell short of expectations. Abuse of power, the exclusion of Haitian-led NGOs from funding, and inefficient project implementation further hindered progress in Haitian healthcare. This paper calls for ethical and equitable partnerships, Haitian-led development, and a shift toward self-sufficiency in international aid initiatives. In conclusion, this paper recommends aligning initiatives with host communities’ needs, as well as exploring innovative changes to the healthcare system that most effectively meet Haiti’s global health goals.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| 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 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".