Storied landscapes: ethno-religious identity and the Canadian prairies
Bibliographic record
Abstract
Storied Landscapes is a beautifully written, sweeping examination of the evolving identity of major ethno-religious immigrant groups in the Canadian West. Viewed through the lens of attachment to the soil and specific place, and through the eyes of both the immigrant generation and its descendants, the book compares the settlement experiences of Ukrainians, Mennonites, Icelanders, Doukhobors, Germans, Poles, Romanians, Jews, Finns, Swedes, Norwegians, and Danes. It reveals how each group's sense of identity was shaped by a complex interplay of physical and emotional ties to land and place, and how that sense of belonging influenced, and was influenced by, relationships not only within the prairies and the Canadian nation state but also with the homeland and its extended diaspora. Through a close study of myths, symbols, commemorative traditions, and landmarks, Storied Landscapes boldly asserts the inseparability of ethnicity and religion both to defining the prairie region and to understanding the Canadian nation-building project.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.027 | 0.015 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".