Fixing Haiti: MINUSTAH and Beyond
Bibliographic record
Abstract
<p>Haiti may well be the only country in the Americas with a last name. References to the land of the "black Jacobins" are almost always followed by the phrase "the poorest country in the Western Hemisphere". To that dubious distinction, on 12 January 2010 Haiti added another, when it was hit by the most devastating natural disaster in the Americas, a 7.0 Richter scale earthquake. More than 220,000 people lost their lives and much of its vibrant capital, Port-au-Prince, was reduced to rubble. Since 2004, the United Nations has been in Haiti through MINUSTAH, in an ambitious attempt to help Haiti raise itself by its bootstraps. This effort has now acquired additional urgency. Is Haiti a failed state? Does it deserve a Marshall-plan-like program? What will it take to address the Haitian predicament? In this book, some of the world's leading experts on Haiti examine the challenges faced by the first black republic, the tasks undertaken by the UN, and the new role of hemispheric players like Argentina, Brazil and Chile, as well as that of Canada, France and the United States.</p>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.757 | 0.515 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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; both teacher heads agree on what is shown here.
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".