Du Musée de l'Homme du Québec au Musée de la civilisation Transformations des musées d'ethnographie au Québec
Bibliographic record
Abstract
Yves Bergeron fue director del servicio de investigación y evaluación del Museo de la Civilización en Québec de 1999 a 2005. Hoy en día es profesor de museología en el Departamento de historia del arte de la Universidad de Québec en Montreal. Su texto propone una mirada sobre la evolución de los museos de etnografía y los museos de sociedad en Canadá en el transcurso de los 40 últimos años. El autor retrata la génesis del Museo de la Civilización de Québec que se ha convertido en un modelo de referencia para los museos de sociedad desde 1988. Se analizan los factores que le permitieron distinguirse en el contexto particular del Québec, foco de la cultura francesa en Canadá. Las similitudes entre Québec y Cataluña permiten entender mejor lo que está en juego con este tipo de museos para naciones pequeñas en el contexto de la mundialización.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".