Santé et médias : modélisation du processus décisionnel
Bibliographic record
Abstract
Resume La communication touchant la sante publique peut etre envisagee dans les entreprises de presse selon un processus decisionnel ou s’etablit une dynamique d’interinfluence menant a la definition des contenus d’information. En tentant de comprendre comment s’effectue le cheminement decisionnel vers l’elaboration du traitement mediatique des thematiques liees a la sante, la recherche presentee dans cet article met a jour certains jeux de negociation en fonction des motivations qui animent les professionnels des medias qui ont a prendre la decision de traiter ou de rejeter certains sujets lies a la sante. Les resultats de cette recherche contribuent a documenter les points nodaux dans la structure mediatique ou s’effectuent les prises de decision, selon un modele de structure matricielle multipaliers prenant en compte la charge socio-politique du sujet a traiter et l’identite de la source. Ainsi, dans les medias quebecois, les professionnels des medias developpent des relations de travail qui illustrent une certaine porosite entre pouvoir de recommandation et pouvoir de decision finale.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".