The Story of One Suburban Synagogue and its Founding Rabbi---Susan Landau-Chark---
Bibliographic record
Abstract
Rabbi Abraham Bernard Leffell was a rarity amongst Canadian rabbis in his day. He was a first generation Canadian- born in Montreal, June 12, 1926, with both his parents having migrated to North America at a very young age.1 In order to fully fathom the milieu within which Rabbi Leffell spent his rabbinical career it is important to be aware of further divergences between Canada and the United States especially in regard to the suburbanization of their respective Jewish communities. One striking variation between the American immigration experience and that of immigrants to Canada was that while many of the immigrants and their children “Canadianized ” they continued to maintain their traditional religious practices. By the 1950's in both Canada and the United States, the demobilization of the armed forces and the influx of new immigrants contributed to this period of time as being one of intense preoccupation with conformity. In the United States, “Levittowns ” were being built and families were rushing from the cities to the suburbs to live in these look-alike houses. Women were in the suburbs with the children, family size increased, men were in their grey flannel suits climbing the corporate ladder, and the key word to family life was “togetherness.”2 The legendary family of the 1950's, complete with appliances, station wagon, backyard barbecues and tricycles scattered on the sidewalks
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.008 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".