Bibliographic record
Abstract
Quelles sont les valeurs qui confèrent à la collection Robert-Lionel Séguin son importance si particulière d’un point de vue muséologique ? À travers l’histoire du Musée de culture populaire de Trois-Rivières, l’auteure se penche sur les rapports de cette institution avec un ensemble d’archives figurées propulsé au rang des symboles identitaires québécois les plus visibles dans les décennies 1970-1980. Par l’analyse des grandes composantes de cette collection, tant sur le plan des diverses catégories d’objets qui la composent que sur le plan de leur qualité scientifique comme marqueurs du développement de la culture matérielle du Québec, l’auteure dégage les forces et quelques lacunes de cette collection de plus de 20 000 objets. En fin de parcours, elle cible les défis muséologiques posés par la mise en valeur d’une collection unique, caractérisée entre autres par son statut de collection de référence scientifique et par sa reconnaissance comme bien national par l’État québécois.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".