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.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 0.033 |
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; both teacher heads agree on what is shown here.
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".