Art as an Intervention in Public Space: How Art Can Act as a Medium to Cross Social Divides
Bibliographic record
Abstract
Collaborative community mural-making, as a community arts practice, intends to build community capacity with a focus on the needs and interests of marginalized members of society. Organizational efforts to collectively activate a visual identity with/in Winnipeg’s inner-city neighbourhoods can engage in the development of neighbourhood identity, representation, and pride. Mural-making has the potential to bridge a gap between/among diverse communities through visual learning and conversation. This study adopts a qualitative approach to understand Winnipeg’s visual artist community’s involvement in the public sphere of arts-making, key community players’ engagement in order to measure community change, and Synonym Art Consultation’s role in the production of Wall-to-Wall Mural and Culture Festival. By conducting 10 semi-structured interviews and reviewing relevant scholarly and grey literature, this paper considers arts-making, as it intersects with community/cultural planning, as a tool that can construct new knowledge that is expressed in visual and artistic ways. I argue that arts-based community-centred planning can elicit a bottom-up, grassroots approach to planning practices that gives thought to more radical planning.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.016 | 0.036 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".