Review of <i> The Last Best West: Essays on the Historical Geography of the Canadian Prairies</i> by Yossi Katz and John C. Lehr
Bibliographic record
Abstract
John Lehr is well known for his longstanding interest in and intimate knowledge of Ukrainian and Mormon settlement in the Canadian West. More recently, he has teamed with Yossi Katz to examine Jewish settlement and to analyze the influence of institutional factors on settlement success. The purpose of this collection of previously-published papers is to contribute to a "full understanding" of frontier agricultural settlement through the use of a comparative approach that analyzes the role of culture and institutions (social, religious, and government) in the settlement experiences of several ethnic groups in western Canada. Chosen for detailed treatment are the groups noted above, with added chapters on the Mennonites (by John Warkentin) and the Hutterites (by Bill Laatsch). The authors also include references to the Doukhobors in the comparative chapters.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.024 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".