Morton Weinfeld Like Everyone Else…but Different: The Paradoxical Success of Canadian Jews.
Bibliographic record
Abstract
Canada was marked on Parliament Hill in November 1977. The affair, attended by many dignitaries, was also rained out. Prince Philip, nearly drenched, turned to one of the distinguished guests, Rabbi Gunther Plaut, and asked, “Could you clergymen not have arranged for better weather? ” Plaut replied, “Sir, we are in sales, not in management.” (Columbo, 2001:46). Morton Weinfeld, in this new look at Jews and Jewish life in Canada, is most emphatically in sales. He declares in his opening sentence that this book was a labour of love. His love for the project as well as for the story he has to share bounces from every page. He skilfully integrates sociological analyses with personal anecdotes and insights. To borrow and adapt a second-wave feminist phrase, the personal is sociological for Morton Weinfeld in this book. Like Everyone Else…but Different is a book about Jews in Canada, about Jewish experiences both individual and collective (which he clearly shows must be seen in the plural). But it is also a book about Canada and Canadianness, about ethnicity and ethnic minorities and minoritization, about assimilation and mosaics and resistances to both. It is about neighbourliness and getting along, sometimes with amusing and sometimes with far less amusing consequences, but generally in the
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.049 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".