“Crime” and “Punishment”: The Curse of Cain and the Bible’s Social Philosophy
Bibliographic record
Abstract
“My avon,” Cain says to God, “is more than I can bear” (Genesis 4:13). Disconcertingly, “crime” is as often used in English renderings as is “punishment.” On the basis of a close analysis of the verses about Cain and Abel, I offer a translation that splits the difference between “crime” and “punishment.” Avon turns out to mean something like “transgression.” The Bible’s portrayal of the conflictual interaction between the brothers is the template of its normative position (conveyed in the story by God) about clashes between old ways and new ways. The Bible rejects the Marxist equation of morality with class-success. The verbal form of “transgress” expresses what Cain does to the old modus vivendi; the nominal form applies to his new one. With all its uncertainties, the latter is for that reason challenging to him.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.045 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".