Analyse comparative du rôle des normes et pratiques journalistiques à la télévision dans la couverture de la campagne électorale fédérale canadienne de 1997
Bibliographic record
Abstract
Quelles sont les normes et les pratiques journalistiques dans la couverture d’une campagne électorale ? Les journalistes appliquent-ils les normes auxquelles ils souscrivent dans l’abstrait ? Cet article compare les normes et les pratiques des journalistes de deux réseaux de télévision, public et privé, durant la campagne électorale fédérale canadienne de 1997. Il démontre que les journalistes dont les patrons édictent des normes professionnelles explicites ne produisent pas une couverture différente de celle des journalistes qui ne reçoivent pas de consignes de travail bien définies. Il analyse les raisons de la non-correspondance entre les normes et les pratiques.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".