Immigration and integration in post-war Canada : a case study of Holocaust survivors in Vancouver, 1947-1970
Bibliographic record
Abstract
Using as a sample a group of nearly 400 Jewish survivors of the Holocaust who entered Vancouver, British Columbia, Canada, between 1947 and 1970, this thesis discusses themes in the history of an ethnic community. The thesis combines oral interviews of survivors with data on their residential, occupational, and affiliational patterns over a twenty-year period, comparing them with the native-born Jewish group. The thesis illustrates the structural factors that led to the rapid integration of the survivors into the existing Jewish community, as well as the shared ideology that brought survivor and host community together. The thesis argues first that survivors already began reconstructing personal and communal lives in the displaced persons camps. Second, it shows that while Canadian immigration policy after World War U blocked large-scale Jewish immigration to Canada, the effect of this policy was to reinforce links between Canadian Jewry and the survivors, so that the survivors entered Canada with strong instrumental ties to the ethnic community. Finally, by examining the residential, occupational, and affiliational ties of immigrants, the thesis demonstrates that, rather than forming separate neighborhoods, occupational networks, and institutions, the survivors integrated into existing patterns already established by the host Jewish group. Survivors not only strengthened institutions already in place but contributed to the ideology of destruction and rebirth now prevalent in North American Judaism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.025 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".