Animating ‘The Blank Page’: Exhibitions as Feminist Community Adult Education
Bibliographic record
Abstract
Public museums and art galleries in Canada are highly authoritative, and trusted knowledge and identity mobilising institutions, whose exhibitions are frequently a ‘blank page’ of erasure, silencing, and marginalisation, in terms of women’s histories, experiences, and contributions. Feminist exhibitions are a response to this, but few in Canada have been explored as practices of feminist community adult education. I begin to address this gap with an analysis of two feminist exhibitions: In Defiance: Indigenous Women Define Themselves, curated by Mohawk-Iroquois artist, Lindsay Katsitsakatste Delaronde, at the Legacy Gallery, University of Victoria; and Fashion Victims: The Pleasures & Perils of Dress in the 19th Century, curated by Ryerson Professor Alison Matthews David, at the Bata Shoe Museum, Toronto. Although dissimilar in form, focus, and era, these exhibitions act as powerful intentional pedagogical processes of disruption and reclamation, using images and storytelling to animate, re-write and reimagine the ‘blank pages’ of particular and particularised histories and identities. Through the centrality of women’s bodies and practices of violence, victimization, and women’s power, these exhibitions encourage the feminist oppositional imagination, dialogic looking, gender consciousness, and a visual literacy of hope and possibility. Yet, as women’s stories become audible through the very representational vehicles and institutional spaces used to silence them, challenges remain.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.018 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".