Three Thousand Families: English Canada’s Colonizing Vision and British Family Settlement, 1919-39
Bibliographic record
Abstract
After the First World War, Canada's immigration policy became more restrictive and immigration more controlled. For English Canadians, immigration of the "right type" of people—those from the British Isles—remained vital to strengthening the nation. This article examines the 3,000 Family Scheme, a joint British-Canadian settlement project in which British families, comprised of over 18,000 individuals, were relocated to homesteads as colonizers of Canada's remote areas. There, many endured isolation and hardship, and were largely blamed for their own plight. A nation-building project that failed, the 3,000 Family Scheme reveals the connections among several enduring national myths in the interwar years: the potential for agricultural expansion, British superiority, and the capabilities of a maturing Canadian state to control the settlement process.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".