Art Galleries, Academia, and Women in Fur\n Masks: A Case Study of Using Visual Art to\n Promote Engaged Classroom Learning
Bibliographic record
Abstract
This article describes a collaboration between a Gender and Development professor and the Director of the Acadia University Art Gallery in designing an activist visual art project based on an exhibit of the Guerrilla Girls. We argue that faculty-gallery collaboration is a critical, but underused, component of teaching and learning on campuses. Résumé Cet article décrit la collaboration entre une professeure d'études sur le genre et le développement, et la directrice de la galerie d'art de l'Université Acadia, dans le cadre de la conception d'un projet d'art visuel militant, basé sur une exhibition des Femmes Guérilla. Nous argumentons qu'une collaboration galleriefaculté est une composante critique mais sousutilisée, des méthodes d'enseignement et d'apprentissage sur les campus.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".