The heART of Activism: Stories of Community Engagement
Bibliographic record
Abstract
This paper invites the reader to consider the power and potential of art for public engagement, and its use in social movement learning and in demanding the world we want now. The authors frame social movements as important sites of scholarship and learning. They emphasize that by applying creative strategies to engage in critical thought about the nature of the world and one’s position in it, artforms have the potential to make essential contributions to social change. Inspired by literature related to critical art-based learning and learning in social movements, the authors explore representations of protest art and public art exhibitions. They contextualize their writing with stories of mobile art exhibits in Sao Paulo, the ‘maple spring’ in Montreal (Tiotia:ke in the language of the Kanien’kehá:ka), and anti–Bill C-51 protests in Lekwungen territory (Victoria, British Columbia). They present and reflect on their own experiences of using art as engagement and as a representation of voice in public demonstrations.
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 | 0.755 | 0.263 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.445 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.538 |
| 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 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".