Bibliographic record
Abstract
Book reviewed in this article: The Politics of Nationalism in Canada: Cultural Conflict since 1760 is a faculty member, Department of Political Science, University of British Columbia. By DAVID CHENNELLS. Law as a Gendering Practice Karine Levasseur is a doctoral student, School of Public Policy and Administration, Carleton University.Edited by DOROTHY E. CHUNN and DANY LACOMBE. Restraining Equality. Human Rights Commissions in Canada By R. BRIAN HOWE and DAVID JOHNSON. The Rights Revolution Rosemary Proctor, consultant and writer on public policy and governance, was formerly a deputy minister with the Ontario government and recently director of the South Africa/Canada Program on Governance. By MICHAEL IGNATIEFF. Agricultural Policy, Volumes I and II (Part 14 of the International Library of Comparative Public Policy) Edited by WYN P. GRANT AND JOHN T.S. KEELER. Philanthropic Foundations: New Scholarship, New Possibilities Edited by ELLEN CONDLIFFE LAGEMANN. Indigenous Difference and the Constitution of Canada By PATRICK MACKLEM. Greed, Chaos and Governance: Using Public Choice to Improve Public Law By JERRY L. MASHAW. The Politics of Educational Reform in Alberta By ALLISON TAYLOR. The Public Employment Service in a Changing Labour Market By PHAN THUY, ELLEN HANSON and DAVDI PRICE.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.502 | 0.418 |
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".