Sites of learning: the architecture of educational reform in Toronto, 1847-1917
Bibliographic record
Abstract
Compulsory education represents one facet of a larger social transformation of working-class children and families in the late nineteenth century. Competing ideas of schooling children and their well-being informed the cultural ferment of these years, as educationists, reformers, specialists, and politicians debated the idea of childhood. By 1917, the Toronto Public School Board’s multiple locations of reform consisted of ninety-nine sites in the city, ranging from the ubiquitous school buildings to more specialized spaces such as industrial and open-air schools. From its formation in 1847 until 1917 when the Department of Health took over children’s public health, the Toronto Public School Board aside from providing free education also acted as an agency of social, juvenile penal, and health reform of children. This dissertation analyzes these years of reform by exploring various architectural sites designed purposefully to implement modern reforms from 1847 to 1917. In examining the Ontario Educational Exhibit of 1876; the Toronto Normal School and Model Schools; the Toronto public school buildings; the Victoria Industrial School for Boys in Mimico; the open-air schools; playgrounds and other material culture of education, I show the complex links education had to industrial capitalism, popular education, school design, juvenile penal reform, architectural practice, and medicine. Organized in a loose chronological order, the six chapters illuminate the ways in which architecture and spatial dimensions informed the process of schooling children, legislating children and childhoods, defining professionalism, and other forces in the educational landscapes that shaped both the experience of the makers and users in these formative years.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.022 | 0.032 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".