Post-Independence Themes in Arun Joshi’s Novel: The Apprentice
Bibliographic record
Abstract
Ratan Rathor is the main character of Arun Joshi's third book, The Apprentice (1974). He is an original soul caught in a materialistic and urbanized society. The hero’s self-analysis is the focus of the novel. Ultimately, he finds solace in daily devotion to the devotees, which serves as atonement for his actions. Gandhi's teachings, as well as those of Western and Indian philosophers, influences Arun Joshi. The novel’s central theme is a post-independence letdown. The unavoidable nature of evil returning to the evil-doer is the subject of the other dynamic leitmotif. Despite the perplexing surroundings, the focus always remains on the individual, who calculatingly chooses evil and then repents. Ratan looks like a victim of the contemporary world. This paper examines the notion of attempting to sort through the confusion that pervades modern life.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".