Recognition and Repentance in Canadian Multicultural Heritage: The Community Historical Recognition Program and Italian Canadian Memorializing
Bibliographic record
Abstract
In this article, we examine the multiculturalization of Canadian heritage, and, in particular, the shift to a politics of repentance that has emerged in the past few decades, recognizing specific instances of violence and exclusion that occurred in the nation’s past. Understood in relation to a duty to remember (devoir de mémoire) and a growing global discourse of reconciliation, as well as locally specific demands for redress, this shift has occurred through a convergence of institutional and grassroots activities, and it is exemplified by the Community Historical Recognition Program (CHRP). To explore the implications of this shift, we analyze heritage projects, including both CHRP-funded and independently developed exhibitions and memorials, created in recognition of the discrimination and internment experienced by Italian Canadians during the Second World War. While these can be read as institutionalizing traumatic memories and promoting a legitimizing narrative of the Canadian settler nation-state, they also serve to enable communities to inscribe their own narratives in Canadian history.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.024 | 0.012 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 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".