Ethnicity and assimilation : German postwar immigrants in Vancouver, 1945-1970
Bibliographic record
Abstract
This thesis analyzes German immigration to Canada in the period following the Second World War and primarily focuses on the settlement of these immigrants in Vancouver. By examining residential patterns, economic experiences, the role of German churches and Saturday schools, language retention, and the secular organizations maintained by Vancouver's German population, it becomes apparent that Germans' attempt to adjust to Canadian circumstances entailed two, seemingly contradictory phenomena: speedy integration and assimilation into the mainstream of Canadian society on one hand, and support for ethnic social, economic, religious, educational, and cultural institutions on the other. The study concludes that assimilation and ethnicity were thus not mutually exclusive. Immigration gave individuals the opportunity to weigh alternatives with regard to social form and institutions, personal values, and the role of their ethnicity in the new life offered by Canada. Consequently, involvement in the local German community may be attributed to as complex causes as the supersession of ethnic origin as a basis of association by other sources of group identification. Yet, even though German-Canadians were highly assimilated into Canadian society by the end of the postwar period, they may have preserved a sense of ethnic identity that did not manifest itself in any visible behaviour.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".