Trajectoires et adaptations à une crise multiple: Port-au-Prince depuis le séisme du 12 janvier 2010 au travers des concepts d’exit, voice, loyalty et apathie
Bibliographic record
Abstract
Le séisme du 12 janvier 2010 a ravagé Port-au-Prince, causant la mort de 250 000 personnes, un million de blessés et des centaines de milliers de sans-abris. Cette situation est essentiellement liée à la pauvreté, mais aussi à des choix d’urbanisme, repoussant les plus démunis à s’installer dans des quartiers précaires. La lecture des enjeux territoriaux à travers le modèle exit-voice and loyalty d’Albert Otto Hirschman permet de mieux appréhender les stratégies des personnes sinistrées. À la suite du 10 janvier, le séisme a engendré un dysfonctionnement dans les stratégies spatiales, entrainant des dynamiques de défection, de mobilité (exit), de protestations (voice), de fidélité (loyalty) et enfin d’apathie dans un contexte de crises multiples (environnementale, sanitaire, sociale, économique, politique) marqué par une grande individuation des trajectoires.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".