Le portefeuille territorial d’évènements culturels (PTEC) : nouvelle modalité de gestion de l’offre d’évènementiel culturel pour un management stratégique des territoires1
Bibliographic record
Abstract
S’appuyant sur le constat d’une évènementialisation croissante de la culture et des territoires, cette recherche théorise le portefeuille territorial d’évènements culturels (PTEC). Cela implique d’adapter les modèles traditionnels d’analyse stratégique en vue de proposer aux managers publics un outil de pilotage de l’offre territoriale d’évènementiel culturel. Sur la base d’une étude de cas unique enchâssée à l’échelle d’un territoire intercommunal, les résultats montrent que le processus de sélection des évènements culturels s’inscrit dans une approche fonctionnelle et que son management stratégique se caractérise par une gouvernance contingente multi-niveaux et multi-partite impliquant un leadership territorial incitatif.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".