Reciprocity and ‘Favour’ in the Parable of the Undeserving Servant (Luke 17.7–10)
Bibliographic record
Abstract
At least for Jewish audiences, the meaning of the parable of the undeserving servant (Luke 17.7–10) is clear enough: slaves can claim no credit for doing what they have been ‘commanded’ (the redoubled τα διαταχθεντα of vv. 9–10). Both the passive voice and parallels from Jewish literature indicate that ‘Master’ and ‘slave’ are ciphers for God and the pious. Mishnah 'Abot 1.3, for example, is widely cited: ‘Do not be like slaves who serve the Master for the sake of reward, but be as slaves who serve the Master other than for reward, and let the fear of Heaven be upon you.’ J. D. M. Derrett has adduced a wealth of material documenting master–slave relations in Judaism as they relate to the circumstances depicted in the text.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".