Western Visions, Western Futures: Perspectives on the West in Canada, 2<sup>nd</sup> ed.
Bibliographic record
Abstract
Western Visions, Western Futures: Perspectives on the West in Canada, 2nd ed., Roger Gibbins and Loleen Berdahl, Peterborough: Broadview Press, 2003, pp. viii, 226 Which is real—the past, or interpretations of the past? When it comes to discussing western Canada's place in the national scheme of things, history hangs heavy; which may be why even works of political science intone Creighton and Careless, Lower and W.L. Morton. The authors of the book under review, Roger Gibbins, CEO and president of the Canada West Foundation and Loleen Berdahl, its Director of Research, cite at one point Quebec's motto je me souviens, but their own study, despite its title, looks back as much as it does ahead.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".