Haiti: Earthquake -12-month Operation Update, Emergency Appeal №: MDRHT018
Bibliographic record
Abstract
The Haiti Red Cross Society (HRCS) advanced with relief and response efforts to support the public authorities in the response actions after the 14 August 2021 earthquake. The population of Haiti continues to face a deterioration of humanitarian conditions, civil unrest, and insecurity. Despite the multiple and complex challenges, the different teams of the Red Cross Movement are delivering key humanitarian assistance to the population targeted by this appeal, including: Shelter: 27,150 people (5,430 households) reached through household items or multi-sector family kits that contained 2 tarpaulins, 1 shelter tool kit, 2 blankets, 2 long-lasting insecticidal nets (LLIN), 1 hygiene kit, 2 jerry cans and 1 bucket. Health: 6,696 people reached by Red Cross Emergency Hospital services in Les Cayes from 29 August until 30 November 2021 with deployments from the Finnish Red Cross, supported by the Canadian Red Cross, French Red Cross, German Red Cross, Japanese Red Cross and Swedish Red Cross, and the Hong Kong Branch of Red Cross Society of China:
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.116 | 0.104 |
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 source (direct Gemma or distilled Codex), 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".