The Thought of Samuel J. Levine at the Intersection of the Talmudic and Constitutional Law
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Samuel J. Levine’s research and writing collected in the two-volume anthology, Jewish Law and American Law: A Comparative Study addresses the connection between contemporary American Law and ancient Talmudic Law through the lens of contemporary Constitutional Law and Professional Ethics. Professor Levine mines the legacy of the late Robert Cover and his theory of law and narrative in particular to draw out the similarities and differences between rabbinic interpretation of the Torah and judicial interpretation of the US Constitution. He also considers where Jewish ethics converge and diverge from professional rules of conduct in the legal profession. This article summarizes some of the key turns in Levine’s recently published collected works and reflects critically on their key themes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it