Bibliographic record
Abstract
Liberal democratic societies with diverse populations generally offer minorities two usually contradictory objectives: the first is equal integration and participation; the second is an opportunity, within limits, to retain their culture. Yet Canadian Jews are successfully integrated into all domains of Canadian life, while at the same time they also seem able to retain their distinct identities by blending traditional religious values and rituals with contemporary cultural options. Like Everyone Else but Different illustrates how Canadian Jews have created a space within Canada’s multicultural environment that paradoxically overcomes the potential dangers of assimilation and diversity. At the same time, this comprehensive and data-driven study documents and interprets new trends and challenges including rising rates of intermarriage, newer progressive religious options, finding equal space for women and LGBTQ Jews, tensions between non-Orthodox and Orthodox Jews, and new forms of real and perceived anti-Semitism often related to Israel or Zionism, on campus and elsewhere. The striking feature of the Canadian Jewish community is its diversity. While this diversity can lead to cases of internal conflict, it also offers opportunities for adaptation and survival. Seventeen years after its first publication, this new edition of Like Everyone Else but Different provides definitive updates that blend research studies, survey and census data, newspaper accounts and articles, and the author’s personal observations and experiences to provide an informative, provocative, and fascinating account of Jewish life and multiculturalism in contemporary Canada.
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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 | 0.003 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.057 | 0.013 |
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".