No Small Matter: Micromuseums as Critical Institutions
Bibliographic record
Abstract
En se concentrant sur trois micro-institutions canadiennes, aux mandats spécifiquement difficiles et/ou politiquement chargés, cet article examine le potentiel critique des petits espaces et musées. Il analyse comment, en raison de financement et d’espace limités, la Feminist Art Gallery de Toronto, le STAG Project Space, une galerie et résidence d’artistes de Vancouver (aujourd’hui fermée), et le Musée de la peur et des merveilles de Bergen en Alberta, convoquent de façon inventive la communauté, la marginalité, l’intervention radicale et les stratégies commissariales. Chacun de ces espaces remet en question les normes de financement, d’accueil et d’exposition, en réimaginant le commissariat à partir de la base. En soulignant les limites des stratégies commissariales bâties sur un investissement personnel (soit-il d’argent ou de temps) et opérant en dehors des structures traditionnelles de financement, nous examinons la position de l’artiste-commissaire comme agent de changement social, ainsi que l’impact potentiel du commissariat à petite échelle.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.078 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".