Review of <i>Immigrants in Prairie Cities: Ethnic Diversity in\nTwentieth-Century Canada</i>. By Royden Loewen and\nGerald Friesen.
Bibliographic record
Abstract
Loewen and Friesen trace the origins of public concern about the adverse influence of immigrants in terms of increased competition for jobs, threats to social cohesion, questioning the loyalties of newcomers at the beginning of the 20th century--issues remarkably similar to the mythology describing immigrants in western societies today. Readers may be tempted to ask, "If the situation in the 1900s is so similar to today's, why read this book?" Not only will readers get a sense of the longevity of these and other myths surrounding migration, they will learn about the creation of ethnic culture in the prairies and leave with a better understanding of immigration in Canada that is germane to comprehending current migrant issues. It is a book that all scholars of Canadian migration history should read.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".