Bibliographic record
Abstract
English This article is one of the first to analyze international psychosocial approaches to large-scale disasters outside Westernized Eurocentric realms. Using the 2004 South-east Asian tsunamis as a basis, it highlights the potential empowerment and advocacy roles and strategies international social workers can deploy with populations affected by disasters. French Cet article est l’un des premiers à analyser les approches psychosociales internationales des désastres de large échelle ayant eu lieu en dehors des royaumes occidentaux eurocentriques. En prenant comme base les tsunamis du Sud Est asiatique de 2004, il éclaire les rôles potentiel d’empowerment (renforcement de la capacité d’agir) et d’advocacy (défense des droits) et les stratégies internationales que les travailleurs sociaux peuvent déployer avec les populations affectées par ces désastres. Spanish Este artículo es uno de los primeros en analizar los acercamientos psicosociales internacionales a los desastres de gran escala que han ocurrido fuera de los reinos eurocéntricos occidentales. Utilizando como base los tsunamis del sureste de Asia de 2004, resalta los roles y estrategias de poder y defensa que los trabajadores sociales internacionales pueden desplegar en poblaciones afectadas por desastres naturales.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 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; 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".