Review of <i>Manitoba Politics and Government: Issues, Institutions, Traditions. </i>Edited by Paul G. Thomas and Curtis Brown.
Bibliographic record
Abstract
This collection of20 essays stems from a conference held at St. Johns College, University of Manitoba, in the fall of 2008, convened specifically to address what its organizers (now the book's editors) saw as the most glaring gaps in the coverage of "various aspects of Manitoba society, politics, government and contemporary policy issues." As with all such projects-especially when contributors come from several different fields-the contents are a bit uneven. Indeed, readers may feel somewhat whipsawed as they move from the smooth prose and deft touch of western Canada's leading historian, Gerry Friesen (who provides the first substantive chapter), to the more clipped tones of the political scientists, economists, senior policy advisers, and government mandarins who provide the vast majority of the volume's essays. Still, despite the inherent problems of such a collection, the editors have done a solid job of both grouping the essays into four more-or-Iess coherent sections and providing some much-needed connective tissue between the papers in their introduction.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.019 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".