Bibliographic record
Abstract
The editorial team is pleased to feature a text by the late Gerald Tulchinsky in this volume's Reflections section.This instalment, titled "In Praise of History and Historians" consists of the draft speech that Tulchinsky was scheduled to deliver for the 2018 Rosen Lecture in Jewish Studies at Queen's University.Readers will notice the draft is not complete: some topics are only mentioned in general bullet points and there are some repetitions that perhaps would have been omitted in additional rounds of edits.Unlike the previous Reflections we've published in this section, Tulchinsky's text was not written specifically for it.Nevertheless, immediately upon receiving this text from Professor Tulchinsky's family we felt it would be a perfect fit.The topic of the lecture, the text's contemplative spirit, and most of all, the author's emphasis on historical research as a cross-generational conversation, evolving according to new contexts and research interests, made it an ideal instalment of this section.Especially inspiring is the final part of the text in which Tulchinsky articulated his conviction that the historian's task and professional commitment is a moral obligation that mirrors the timeless Talmudic teaching: "You are not obligated to finish the work, but you are not free to desist from it" .(Pirkei Avot, 2:21).The ethical and communal imperatives that clearly shaped Tulchinsky's scholarly practice, we believe, helps explain why his scholarship became, and remains, a corner stone in the field of Canadian Jewish studies.We are thankful to Professor Tulchinsky's family for allowing us to share this text with our readers.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.018 | 0.025 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.010 | 0.026 |
| Insufficient payload (model declined to judge) | 0.021 | 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".