Cultural Distinction and the University of Toronto: Constructing Symbolic Boundaries of Social Class in Canada, 1894–1950
Bibliographic record
Abstract
In the first half of the twentieth century, the University of Toronto was a preeminent cultural institution in Canada. Based on a critical interpretation of archival documents, this article narrates the history of four non-formal educational programs through which the University of Toronto created opportunities for Canadians to develop privileged forms of cultural taste and practice: the administration of local examinations in music across Canada, the development of a museum oriented to public visitation, the organization of public lectures in collaboration with local associations across Ontario, and the delivery of non-credit evening courses in Toronto. These four programs engaged hundreds of thousands of Canadians in forms of activity that supported the development of what Bourdieu conceptualized as constellations of cultural distinction: arrays of tastes and practices that mark symbolic boundaries of social class. Two of the programs resulted in national cultural institutions (Royal Conservatory of Music and Royal Ontario Museum) prominent in fields that have been empirically associated with social class boundaries in Canada. The other two programs declined in significance after 1950 and have not previously been included in analyses of cultural distinction. This article explores the historical role of Canadian universities in constructing symbolic boundaries of social class.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.046 | 0.035 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".