Mobilizing Metaphor : Art, Culture, and Disability Activism in Canada
Bibliographic record
Abstract
"Mobilizing Metaphor illustrates how artistic and radical efforts are reshaping disability activism in Canada and, in the process, challenging dominant perceptions of disability. \n \nRecent changes to Canadian disability policy have seen disability programs hampered by funding cuts and other austerity measures. But this oppression has also given new life to an already vibrant Canadian tradition of disability activism. Until now, research has focused on the legal and policy spheres and overlooked disability activism that expresses itself alongside and outside conventional policy reform, often through a variety of art forms. \n \nHere, contributions by disability artists, activists, and academics show how disability art is distinctive as both art and social action. Richly illustrated with photographs and other images, and including an insightful concluding chapter by renowned disability scholar Tanya Titchkoksy, this array of artistic, cultural, and radical approaches to disability politics demonstrates that disability activism is as varied as the populations it represents. As the contributors sketch the shifting contours of disability politics in Canada and show how disability oppression is not isolated from other prejudices, they challenge us to re-examine how we enact social and political change." -- Publisher's website.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.048 | 0.035 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".