Communication publique territoriale et approche générationnelle. Analyse comparée entre la France et le Québec
Bibliographic record
Abstract
est spécialiste de la communication publique territoriale.Maître de conférences associé à l'ISIC (Institut des Sciences de l'Information et de la Communication de l'Université de Bordeaux 3), ilest consultant associé à l'agence Epiceum (agence spécialisée en communication publique).Il collabore régulièrement avec différents organismes privés et publics, (CNFPT, Cap'Com, Territorial…) mais aussi depuis plus de 20 ans avec l'ACMQ, l'Association des Communicateurs Municipaux du Québec, province canadienne où il a débuté sa carrière professionnelle.Les collectivités territoriales sont de plus en plus tentées par la segmentation de leur population selon les critères âge et cycles de vie lorsqu'elles communiquent.Qu'en est-il au Québec ?
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".