Bibliographic record
Abstract
Abstract While recent historical Jesus studies often appreciate the role played by Jesus’ characteristic activities, debate continues over the historicity of specific examples of such activities. This essay examines the story of Jesus healing a leper as a specific example of Jesus’ activity of healing. In particular it shows the contribution to be made by analyzing the account in the Egerton Gospel 35–47 alongside Mark 1.40-45. The nature of leprosy in the ancient Mediterranean world and the sociocultural realities of a frst-century Jewish context contribute to this analysis. The essay concludes that within the bounds of historical probability Jesus healed a leper (not Hansen's disease but a flaking skin condition). Jesus responded to the man's request by anticipating the priestly declaration that he would be clean and making this possible by curing the man's disease (i.e., his bio-medical condition) by means of verbal command and probably also through touch. Jesus instructed the man to seek a priest's declaration of cleanness in order to heal his illness (i.e., his socio-cultural condition) which Jesus had anticipated would be the result of his response.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.038 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".