The Motivations of Palestinian Suicide Bombers in the Second <i>Intifada</i> (2000 to 2005)
Bibliographic record
Abstract
Malgré 16 ans d'histoire (1993‐2009), les recherches sur les kamikazes palestiniens qui se fondent sur des données de base demeurent rares, et aucune étude précédente faisant une analyse d’échantillons représentatifs de cas n'existe. Basé sur des entretiens menés par l'auteur en 2006 avec des proches et amis de 42 kamikazes palestiniens sélectionnés aléatoirement et représentant environ un quart des kamikazes palestiniens de la deuxième intifada (2000‐2005), cet article conclut que les motivations de ces bombes humaines sont généralement complexes. Par ordre décroissant, les motivations comprennent (1) un désir de vengeance contre les forces israéliennes et leurs mesures répressives excessives, (2) l'inspiration religieuse et (3) le désir de libération de la patrie.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".