Building Communities in Tense Times: Fostering Connectedness Between Cultures and Generations through Community Arts
Bibliographic record
Abstract
The worldwide upsurge in social polarizations generates intercommunity tensions that challenge the social fabric of urban neighborhoods and undermine the relationships between their members. Because community arts can foster the creation of connections between people that would not have been in contact otherwise, they are often perceived as being powerful tools to foster community resilience. Through a multiple case study approach, this article describes how three community arts projects, carried out in two socioeconomically deprived neighborhoods of Montreal (Canada), influenced the social relationships between participants from diverse ethnocultural backgrounds and generations. Using participant observation and arts-based data collection methods (photography, video, and arts productions), the authors examine how the three projects illustrate (a) the interactive processes at play, (b) the transmission and hybridization of stories and images of adversity and resiliency, and (c) the access to a collective voice.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".