Bibliographic record
Abstract
In this comprehensive study of Belgian settlement in western Canada, Cornelius Jaenen shows that Belgian immigration was unique in its character and brought with it significant benefits out of proportion to its comparatively small numbers. Canadas first Immigration Act (1869) included Belgium among the "preferred countries" from which immigrants should be sought, but unlike many other European countries, Belgium did not encourage its nationals to emigrate to relieve economic, demographic, and social crises, and Belgian officials took a strong interest in their emigrants, monitoring the conditions of settlement and, where fraud was discovered, intervening diplomatically and paying for repatriation. The result was a resourceful body of settlers adaptable to both anglophone and francophone communities and adept at promotion and raising of capital. The first wave of immigration, beginning in the 1880s, consisted mainly of farmers to southern Manitoba and miners to Vancouver Island. A second wave after 1896, facilitated by a direct steamship link to Antwerp, brought more miners, as well as orchard planters to the Okanagan, sugar beet farmers to Alberta, and dairymen to Manitoba. World War I was followed by a further wave of agriculturally oriented settlement, and World War II by a mainly urban and skill-oriented cohort. In all cases, Belgians differed from the larger immigrant groups in that they were not recruited by important immigration societies and did not settle in ethnic blocs. There is probably no one better equipped than Cornelius Jaenen to write the history of the Belgians in western Canada. An eminent historian and the son of Flemish and Walloon Belgian immigrants himself, Professor Jaenen has gleaned, from Belgian and Canadian archival sources and from local, community, and family histories, a story rich in detail and context that will be invaluable to Canadians of Belgian origin as well as scholars and students of western Canadian ethnic and immigration studies.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.910 | 0.890 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".