Bibliographic record
Abstract
Les travaux effectués sur le terrorisme ont tendance à décrire le phénomène comme un élément statique. Or, pour bien comprendre le terrorisme, il est de notre avis qu’il faut plutôt conduire des analyses plus « biologiques » qui examinent, en juxtaposition, le fonctionnement interne des groupes terroristes et l’environnement dans lequel ils évoluent. Ce texte aura donc pour but de prendre en considération cette dynamique interne/externe. Cela nous permettra de constater que les organisations terroristes contemporaines ont pu créer de nouvelles méthodes de fonctionnement : les opérations réseaucentriques. Ce nouveau mode opérationnel a pour objectif d’accroître l’efficacité de l’organisation terroriste et de lui permettre de mieux faire face au contexte de sécurité actuel. En exploitant le potentiel des technologies de l’information, les groupes terroristes se sont dotés de moyens pour résister aux opérations contre-terroristes.
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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".