The Other(’s) Toronto Public Art: The Challenge of Displaying Canadians’ Narratives in a Multicultural/Diasporic City
Bibliographic record
Abstract
Cet article explore les controverses sévissant autour de quelques oeuvres permanentes d’art public commémoratif, commandées ou financées par le public ou le privé, qui ont été érigées à Toronto afin de représenter des récits nationaux et extranationaux associés à des communautés ethnoculturelles. À travers l’analyse de plusieurs études de cas, nous démontrons comment et pourquoi la population immigrante au Canada, en pleine augmentation et diversification, a une incidence sur la gestion de l’art public commémoratif dans ce pays. En conclusion, nous recommandons l’adoption de pratiques contemporaines en art public comme un moyen de commémorer autrement et de maintenir la cohésion sociale dans une ville multiculturelle et diasporique comme Toronto.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".