Bibliographic record
Abstract
Canada’s big cities are at the forefront of social and economic change. They account for most of Canada’s population growth, they are magnets for immigrants from all parts of the world, and they have led Canada’s shift from an industrial to a post-industrial economy. Today, perhaps more than ever, Canada’s cities are the places where new policy problems, new political movements, and new demands for representation first emerge. In City Politics in Canada: Forty Years of Continuity and Change , co-editors Martin Horak, Jack Lucas, and Zack Taylor and their team of authors explore how these great transformations have reshaped the practice of politics in seven large Canadian cities: Toronto, Montreal, Vancouver, Halifax, Ottawa, Winnipeg, and Calgary. In doing so, they revisit and carry forward the ambition of City Politics in Canada, edited by Warren Magnusson and Andrew Sancton and published by UTP in 1983. That landmark volume was the first to offer an in-depth view of Canadian city politics. Forty years later, a new generation of scholars take up the same expansive, cross-country goal. The editors’ introduction presents a holistic picture of urban change in Canada, complete with up-to-date social, economic, fiscal, and electoral data, and identifies important questions. The city chapters, written by local experts, illuminate the dynamics of political continuity and change over four transformative decades. In the closing chapter, the editors synthesize the findings to draw out new insights about the nature of Canadian urban politics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.040 | 0.008 |
| Scholarly communication | 0.017 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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".