‘The fight on educating the public to equal treatment for all will have to come later’: Jewish Refugee Activism and Anti-Immigration Sentiment in Immediate Post-War Canada
Bibliographic record
Abstract
Abstract Canadian immigration policy of the 1930s and 1940s was the most restrictive and selective in the country’s history, making it one of the countries to take the smallest number of Jewish refugees fleeing the Nazi persecution. After the war, Canada slowly opened its borders, but only through small token gestures in 1947 and 1948. This article explores how the main Canadian Jewish organization lobbied for the welcoming of more Jewish refugees and migrants in the immediate aftermath of the war. It examines how their perception of the public’s anti-Jewish immigrant sentiment and of the Canadian immigration policy’s discriminatory mechanisms informed their strategies. During that period, the Canadian Jewish Congress prioritized constant and subtle action with the government instead of trying to set up mass mobilization campaigns. This strategic shift is an overshadowed but essential chapter of both Jewish and human rights histories in Canada. This article invites a re-evaluation of Jewish activism’s role in ending ethnic selection in the Canadian immigration policy and promoting refugee rights. It contributes to broadening our understanding of how minority groups lobbied and worked with hostile media and authorities.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.046 | 0.020 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".