PRODUIRE ET DIFFUSER LA CULTURE DANS LES VILLES MOYENNES: LE CAS DE QUÉBEC, TROIS-RIVIÈRES ET RIMOUSKI.
Bibliographic record
Abstract
A produção e a difusão da cultura é geralmente estudada em função das grandes cidades. Em cada país, observa-se o domínio de uma metrópole cultural que concentra os recursos humanos e financeiros, as mídias e o star system. Mas, e as outras cidades e regiões não-metropolitanas? Estão elas condenadas à dependência e ao papel de simples consumidoras da cultura das metrópoles? Em que medida podem elas, por sua vez, tornar-se agentes de criação e de difusão da cultura? Qual é o papel dos agentes culturais e outros na dinâmica cultural de uma cidade média ou pequena na manutenção de uma vida cultural autônoma? Estas questões serão analisadas a partir de uma pesquisa feita por Fernand Harvey e sua equipe em três cidades do Quebec – Québec, Trois-Rivières e Rimouski - e concernentes a seis atividades ou eventos culturais. Nas discussões que seguirão, seria interessante saber se tal problemática é aplicável às regiões do Brasil.Résumé: La production et la duffusion de la culture est généralement étudiée en fonction des grandes villes. Dans chaque pays on note la domination d’ une métropole culturelle qui concentre les ressources humaines et fínancières, les médias et le star system. Mais qu’en est-il des autres villes et des régions non métropolitaines? Sont-elles condamnées à la dépendance et au rôle de simple consommatrices de la culture des métropoles? Dans quelle mesure peuvent-elles à leur tour devenir des agents de création et de diffusion de la culture? Quel est le rôle des agents culturels et autres dans la dynamique culturelle d’une ville moyenne ou de petite taille dans le maintien d’une vie culturelle autonome? Ces questions seront analysées à partir d’une enquête menée par Fernand Harvey et son équipe dans trois villes du Québec – Québec, Trois-Rivières et Rimouski – et concernant six activités ou événements culturels. Lors des discussions qui suivront, il serait intéressant de savoir si une telle problématique est applicable aux régions du Brésil.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".