Possibilities of Public Art as an Agent of Renewal and Resistance in Pointe-Saint-Charles
Bibliographic record
Abstract
This thesis explores understudied public art histories in the traditionally working-class neighbourhood of Pointe-Saint-Charles in Montreal, Québec, Canada. As a community, Pointe-Saint-Charles has a strong history of grassroots, place-based activism. Deindustrialization, top-down urban renewal, and shifting patterns of gentrification have impacted this neighbourhood in distinct ways, necessitating community-led solutions. Drawing on critical frameworks theorizing the entanglement of public art and processes of urban change, as well as community-authored historical sources specific to Pointe-Saint-Charles, this thesis aims to explore how actors within public art practices, such as artists, funders, and residents, negotiate a sense of place (Massey) within urban change. How can these different perspectives illuminate the sites and stakes surrounding public art in this neighbourhood? By exploring the conditions of commissioning, creation, and reception surrounding four public artworks installed or created over the last 50 years, this study reveals collective, personal, and political narratives of place, urban change and community spirit in a very unique neighbourhood in Canada. Informed by Elaine Speight’s concept of “place-listening,” this thesis proposes new methodologies that weave together the situated knowledge (Haraway) of long-term residents with archival research to resist dominant narratives of place, in favour of situated perspectives in Pointe-Saint-Charles.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.034 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".