L'Effet 11 septembre : 15 ans après
Bibliographic record
Abstract
Il y a quinze ans deja, le World Trade Center et le Pentagone etaient la cible d'une attaque terroriste dont le monde subit toujours les consequences. Apres avoir lance la lutte contre Al-qaida et les talibans, renverse le regime de Saddam Hussein et tue Oussama ben Laden, les Etats-Unis restent engages dans une guerre tous azimuts contre le terrorisme. Les attentats de Charlie Hebdo et du 13 novembre 2015 a Paris, ou encore ceux d'octobre 2014 a Ottawa et Saint-Jean-sur-Richelieu, ont par ailleurs incite des pays comme la France et le Canada a en faire plus pour prevenir de tels evenements. Quinze ans apres le 11 septembre 2001, de quelle maniere le terrorisme a-t-il evolue dans le monde? Est-il aussi menacant qu'on le croit? Justifie-t-il de vivre dans un etat d'alerte, d'exception et de guerre permanent? Avec les contributions de Zoe Barry, Adib Bencherif, Andreanne Bissonnette, Vincent Boucher, Christophe Cloutier, Louis Collerette, Francoise Conea, Frederick Gagnon, William Grenier-Chalifoux, Josselyn Guillarmou, Nicolas Pellerin-Roy, Mylene Repentigny-Corbeil, Maxime Ricard, Julien Tourreille et Elisabeth Vallet. Creee en 1996 et situee a l'Universite du Quebec a Montreal, la Chaire Raoul-Dandurand en etudes strategiques et diplomatiques s'est donne une mission d'analyse, de formation et de diffusion aupres des universites, des organismes d'Etat, des organisations internationales, du secteur prive et de la societe.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.076 | 0.023 |
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".