Économusée® : forces, faiblesses et opportunités d’un concept québécois
Bibliographic record
Abstract
Le concept d’économuséologie développé par Cyril Simard est aujourd’hui reconnu comme un des principes fondamentaux dans la sauvegarde du patrimoine immatériel et des savoirs artisanaux. Le système se définit comme mixte entre entreprise et musée et répond à des caractéristiques bien précises. De nombreux jalons couvrent l’histoire du développement des économusées et de la Société du Réseau des ÉCONOMUSÉE®. Des premières initiatives de sauvegarde de la papeterie Saint-Gilles en 1982, en passant par l’exportation du concept sur le plan international et l’entrée dans le Dictionnaire encyclopédique de muséologie, ce concept innovant mettant les artisans à l’honneur, gagne de plus en plus ses lettres de noblesse. \n_____________________________________________________________________________ \nMOTS-CLÉS DE L’AUTEUR : Artisanat – Écomuséologie – Savoir-faire – ÉCONOMUSÉE® – Sauvegarde – Transmission – Patrimoine immatériel.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".