Les images de presse de la crise des caricatures de Mahomet dans les quotidiens Libération et Le Devoir en février 2006
Bibliographic record
Abstract
Présente dans les médias de l’écrit, l’image y révèle une part de subjectivité induite par sa position et la stratégie qui est à l’origine de son choix. Comme le texte écrit, la photographie mise au service de l’information est susceptible de véhiculer un certain nombre de lieux communs. Dans cet article, nous proposons une réflexion sur les photographies publiées dans les quotidiens Libération et Le Devoir au cours de la crise des caricatures de Mahomet. Mettre côte à côte les photographies de ces deux quotidiens francophones est un moyen efficace de pointer les différences et les convergences du traitement de cette crise et, au-delà, de s’intéresser à la représentation faite de la religion et de l’islam dans les médias de France et du Québec.
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 | 0.016 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".