Alain RABATEL, Michèle MONTE et Maria das Graças SOARES RODRIGUES (dir.) (2015), Comment les médias parlent des émotions. L’affaire Nafissatou Diallo contre Dominique Strauss-Kahn
Bibliographic record
Abstract
Affranchies du domaine de l’irrationnel, les émotions suscitent actuellement un regain d’intérêt chez les chercheurs en sciences de la communication. Appréhendées sous l’angle de leur fonction discursive, qu’elles constituent des ressources de l’argumentation ou son objet propre, les émotions sémiotisées offriraient en effet une assise au « vivre ensemble » et « engage[raient] à l’action », notamment politique (Laurence Kaufmann et Fabienne Malbois, p. 26 ; Alain Rabatel, p. 152). C’est dans ...
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".