Communication politique et diversité culturelle : État de la question
Bibliographic record
Abstract
La litterature en communication politique s'interesse de plus en plus aux phenomenes de persuasion politique en situation interculturelle, mais les recensions d'articles touchant a cette question particuliere sont pratiquement inexistantes. Cet article a pour but d'etablir un etat de la question sur le sujet, en s'attardant non seulement a la communication politique visant a convaincre l'electeur de voter pour un certain parti, mais egalement a celle plus generale qui cherche a persuader les electeurs d'origine immigrante de se presenter tout simplement aux urnes. Trois principaux types d'articles sont recenses : ceux qui etudient le comportement politique des membres des communautes culturelles, ceux qui tentent de cerner l'influence des strategies de communication directe sur les comportements politiques de cet electorat et enfin ceux qui s'interessent a l'influence sur les membres des communautes culturelles des strategies de communication de masse. La conclusion globale de ces articles demeure toutefois que pour etre efficaces, toutes les strategies de communication doivent s'adapter a la specificite ethnique de leur auditoire.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".