Bibliographic record
Abstract
Abstract This essay seeks to emphasize the important bearing which multiple and quotidian, personal contexts have on the biblical exegesis of Mohandas K. Gandhi. The essay focuses on Gandhi’s interpretation of the parable of the Prodigal Son (Luke 15:11–32), asking in particular why Gandhi’s reading departs from the parable’s literal sense. While the most evident reason for Gandhi’s distinctive interpretation is his philosophy of satyagraha or non-violent resistance, there emerge behind this appeal, several more precise contexts that plausibly contributed to Gandhi conceiving of satyagraha as the parable’s interpretive key. These contexts included political exigencies that Gandhi faced in mid-1920; his relationship with his son Harilal; and the profile of one of his interlocutors, Sir Narayan Chandavarkar. This essay emphasizes the importance of such varied and personal contexts that merge to help shape Gandhi’s interpretation, and closes with implications for further study of biblical exegesis by Gandhi and more generally in the global south.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".