Review of: <em>A Geography of the Hutterites of North America</em>—Simon M. Evans
Bibliographic record
Abstract
Imagine a complex academic book without a subtitle: straightforward, lucid, accessible. These qualities describe Simon Evans’ final word on Hutterites of the western plains of Canada and the United States. It’s an historical geography, distinctive from the more numerous social scientific studies of the Hutterites. It methodically traces the dispersion of an 1870s Dakota settlement into Manitoba and Alberta during World War I, and then into Montana and Saskatchewan after World War II, with small representations in Washington State and British Columbia. Along the way, Evans deepens his analysis and interlaces theological consideration, demographic change, ecological intrusion, marketplace engagement, political interaction, gender relations, and internecine differences with the geographer’s craft, spatial arrangement. Indeed, these various intersections make for a richly textured historical geography that no subtitle could capture. And they rely on Evans’ own expansive on-colony ethnography, rich map collections, and broad engagement with a multi-disciplinary secondary literature. In the process Evans gives us a fresh look at the Hutterites and produces a historical geography that does much more than document the Hutterite diaspora in the North American grassland. [First paragraph.]
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.010 |
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".