Review of <i>Storied Landscapes: Ethno-Religious Identity and the Canadian Prairies. </i>By Frances Swyripa
Bibliographic record
Abstract
Frances Swyripa's study of the ethno-religious landscape of the Canadian prairies is a delightful painting of the visual legacy ofthe settlement landscape and at the same time a careful analysis of the nuances that undergirded the religious sensibilities of the particular groups she examines. Storied Landscapes pays most attention to Mennonites, Ukrainians, Doukhobors, and Icelanders, and less to other Scandinavians, other Europeans, and Mormons. Three single location settlements in Saskatchewan are also represented: the Esterhazy-Kaposvar Hungarian settlement, the English Barr Colony near Lloydminster, and the German St. Peter's Colony at Muenster. Storied Landscapes is a welcome and novel way of looking at ethno-religious settlement on the Canadian prairies. Its comparative approach helps to lay bare the multiplicity of meanings the land came to have as religious and ethnic space.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.030 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".