Bibliographic record
Abstract
This ground-breaking work is a collection of papers originally given at anacademic conference on the interpretation of scripture in medieval Judaism,Christianity, and Islam, which was held at the University of Toronto in1997. Of equal interest to scholars and students of medieval Judaism,Christianity, and Islam, particularly those concerned with the place of thescriptures in these religious traditions, it demonstrates both the diversitywithin these three faiths’ exegetical traditions as well as their many crossculturalsimilarities.Following a short preface, which briefly outlines the work’s purposesand scope, the book is divided into three sections, each of which containsthe chapters related to each faith tradition. Each section begins with itsown introduction to the history and methods of the medieval exegesis ofthe relevant faith tradition, which provides the non-specialist reader witha historical context in which to place the individual chapters. The introductionsalso draw the reader’s attention to some parallel developmentsand possible interfaith influences among these exegetical traditions,while at the same time promoting a nuanced understanding in order toavoid facile comparisons. The book contains both a general subject indexand an index to citations from the Bible, Rabbinic literature, and theQur’an.Part 1, which contains 10 chapters on medieval Jewish exegesis, isarguably the most vibrant portion of this book. It conveys a sense of thedepth and breadth of this exegetical tradition, as well as the variety ofapproaches that are being used to study it, and the potential such studieshave for shedding light on a variety of historical issues ...
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.133 | 0.120 |
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".