Bibliographic record
Abstract
Radhakrishnan's panegyrics on Gandhi have reinforced the popular and now well-entrenched image of Gandhi as India's Great Soul. A cursory reading of Radhakrishnan's works might suggest that he was an unwavering supporter of Gandhi. Challenging this popular perception, the author argues that throughout his life Radhakrishnan remained critical of several facets of Gandhi's thought and practice. Among them, renunciation and celibacy (brahmac, and satyāgraha (non-violent resistance) with its methods of non-violence (ahim sā ) and swadeshi (self-reliance) are recurring themes with which Radhakrishnan took issue. The author claims that neither the basis of Radhakrishnan's criticisms nor his estimation of Gandhi remained constant. Instead, Radhakrishnan's perception of Gandhi reflects the development of Radhakrishnan's own philosophical, religious and political sensibilities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| 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".