Avoiding Charges of Legalism and Antinomianism in Jewish‐Christian Dialogue
Bibliographic record
Abstract
This article sets forth a theological approach to Jewish‐Christian dialogue on the issue of law, which is often thought to be beyond the grasp of that dialogue because Judaism and Christianity are supposed to be in diametrical opposition here. Christians must recognize that for Jews, law is not in opposition to grace as a substitute for faith but, rather, law is the faithful response to grace in the covenant. Christians cannot be antinomians without simultaneously rejecting the very authority of God to command any faithful response. The issue between Judaism and Christianity is which law, Jewish or Christian, best enables a human being to be in the fullest possible relationship with God in the yet unredeemed world. On many points, though, Jewish and Christian law will overlap, thus reveal some essential commonalities.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.074 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".