Haiti Four Years Later: Towards a Lasting Legacy for Haitian Children
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
January 12, 2010, was a day of profound tragedy for Haiti. Four years after Haiti's epic earthquake, the numbers are still hard to accept. Over 230,000 people were killed in a matter of moments and 1.5 million others were displaced. More than 70,000 homes, businesses and public buildings were destroyed. The national government was crippled; the dead included 25 percent of all civil servants. Nearly 5,000 schools were damaged or destroyed as the ground convulsed beneath the capital of Port-au-Prince and the surrounding countryside. A fragile government, poor infrastructure and insecurity exponentially compounded the earthquake's impact, and left the population vulnerable to the cholera epidemic that affected over 630,000 people from October 2010, as well as hurricanes and tropical storms that caused flooding and wreaked havoc in 2012 and 2013. An end is in sight. Over 89% of the displaced population has left the camps; the incidence of cholera has been halved since the outbreak in 2010; severe food insecurity has been brought down from 1.5 million affected people in early 2013 to 600,000 by October 2013. Such progress was made possible by the power of your support, combined with our work and the incredible efforts of the Haitian people themselves. Now is the time to capitalize on this progress to achieve real lasting change. Now is the time to impact the lives of Haiti's most vulnerable. Now is the time to move together towards a brighter future for Haiti's children. These children still have critical unmet needs and acute vulnerabilities, requiring proven life and livelihood-saving interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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