Bibliographic record
Abstract
Le festival italien Notte della Taranta est un exemple très intéressant qui permet de comprendre le rôle et l’incidence des politiques culturelles locales et régionales mises en oeuvre afin d’attirer l’attention médiatique et touristique sur le territoire salentin. Pour ce faire, les opérateurs culturels, qui organisent le festival, ont recours à la force attractive d’une certaine image de l’identité musicale locale. C’est pourquoi nous avons réinterrogé la notion d’identité locale afin d’analyser comment cette notion devient opérationnelle dans le cadre du festival en contribuant à sa réussite et à son succès. Nous avons ainsi circonscrit les divers acteurs qui participent à cet événement, puis défini leur rôle et leurs stratégies respectives afin de dégager des outils d’analyse, voire peut-être un modèle de fonctionnement qu’il serait intéressant de mettre à l’épreuve d’autres contextes festivaliers similaires.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".