Bibliographic record
Abstract
This chapter presents a sermon by Maurice N. Eisendrath, delivered on the third Rosh Hashanah of the war. The situation of Canadian rabbis was precariously positioned between those of American preachers to the south and British preachers to the east. Canada, as part of the British Commonwealth, had long been part of the war effort, so the debate over whether or not to enter the war was not an issue, as it still was for colleagues in the United States. On the other hand, Canada was not directly affected by the war as was Britain, where one year earlier London had suffered a sustained air attack unprecedented in its devastation (a situation that certainly affected the mood in Toronto on the previous Rosh Hashanah, as the preacher reminds his listeners). Now, although the battles on the recently opened Eastern Front were of almost unimaginable ferocity, to many Canadians the war seemed distant; life at home seemed almost normal, as it did to many in the United States. This was precisely the mindset that Eisendrath set out to censure.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.008 |
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".