Organisation de la post-catastrophe après Irma à Saint-Martin
Bibliographic record
Abstract
Le 3 septembre 2017 alors que le cyclone Irma s’approche de Saint-Martin, la rentrée scolaire est reportée sine die pour les 8 000 élèves inscrits dans les écoles publiques et les 900 personnels de l’Éducation Nationale. Le cyclone ayant endommagé une majorité de bâtiments et d’infrastructures (dont les établissements scolaires) certains élèves de l’île n’ont pas été scolarisés pendant deux mois. Nous proposons dans ce travail de considérer les récits des adolescents en tant que données susceptibles d’alimenter les retours d’expérience post-catastrophe. Notre objectif est de comprendre le vécu des adolescents et de caractériser les actions qu’ils ont menées en période post-crise. Si leur rôle est reconnu, leurs actions et les contextes de mise en œuvre méritent alors d’être précisés.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".