Bibliographic record
Abstract
This second edition renews the promise of the first: it offers a fresh and comprehensive exploration of the complexity of Canadian federal politics. It begins with a comprehensive section on constitutional politics, which examines topics ranging from executive federalism to multiculturalism including new chapters on judicial review and the division of powers, Aboriginal governance and federalism, and the implication of treaty rights for self-governance. This is followed by seven chapters that both provide a select survey of public policy areas and explore the impact of federal-provincial relations on policy evolution and outcomes. Updated chapters on trade policy, labour policy, the environment, regionalism, and, of course, health care are all to be found, alongside new work on social assistance and Canadian federalism and federation in comparative perspective. Throughout, the book reveals the visions that have animated Canada's longstanding constitutional debates, the role of executive federalism and the courts in relation to the evolution of federalism, and the essential dynamism of policy development. Together they demonstrate that, despite the lack of a formal constitutional agreement, important changes are occurring in the Canadian federal system.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".