Before Official Multiculturalism: Women’s Pluralism in Toronto, 1950s-1970s
Bibliographic record
Abstract
For almost two decades before Canada officially adopted multiculturalism in 1971, a large network of women and their allies in Toronto were promoting pluralism as a city- and nation-building project. Before Official Multiculturalism assesses women as liberal pluralist advocates and activists, critically examining the key roles they played as community organizers, frontline social workers, and promoters of ethnic festivals. The book explores women's community-based activism in support of a liberal pluralist vision of multiculturalism thorough an analysis of the International Institute of Metropolitan Toronto, a postwar agency that sought to integrate newcomers into the mainstream and promote cultural diversity. Drawing on the rich records of the institute, as well as the massive International Institutes collection in Minnesota, the book situates Toronto within its Canadian and North American contexts and addresses the flawed mandate to integrate immigrants and refugees into an increasingly diverse city. Franca Iacovetta investigates the contradictions between the activists' desire to celebrate and build ethnic diversity on one hand, and their project of Canadian nation-building on the other. Drawing lessons from the history of the Toronto International Institute, Before Official Multiculturalism engages with national and international debates to provide a critical analysis of women's pluralism in Canada.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.023 | 0.023 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".