Elements of a counter‐exhibition: Excavating and countering a Canadian history and legacy of eugenics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Into the Light, a recently mounted collectively curated museum exhibition, exposed and countered histories and legacies of 20th-century "race betterment" pedagogies taught in Ontario's postsecondary institutions that targeted some groups of people, including Anishinaabe, Black, and other racialized populations, and disabled and poor people, with dehumanizing ideas and practices. This article advances understandings of the transformative potential of centralizing marginalized stories in accessible and creative ways to disrupt, counter, and draw critical attention to the brutal impacts of oppressive knowledge. The "counter-exhibition" prioritized stories of groups unevenly targeted by such oppression to contest and defy singular narratives circulating in institutional knowledge systems of what it means to be human. The authors draw on feminist, decolonial and disability scholarship to analyze the exhibition's curation for the ways it collectively and creatively: (1) brought the past to the present through materializing history and memory in ways that challenged archival silences; and (2) engaged community collaboration using accessible, multisensory, multimedia storytelling to "speak the hard truths of colonialism" (Lonetree) while constructing a new methodology for curating disability and access (Cachia). The authors show how the exhibition used several elements, including counter-stories, to end legacies of colonial eugenic violence and to proliferate accounts that build solidarity across differences implicated in and impacted by uneven power (Gaztambide-Fernández).
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 0.000 |
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 it