Bibliographic record
Abstract
Abstract Kashinath Singh’s three Banaras-novels are interesting examples of the continuing occupation of a contemporary author with urban space and its social life. Beyond Banaras I use “Banaras” in this article. The English spelling “Benares” is still used occasionally. The official name of the town is “Varanasi” (Hindi: Vārāṇasī). as a physical location, the three novels emulate deeper and more symbolic layers of meaning of a cityscape with its fascinating complexity of social, cultural and religious relations between tradition and modernity. Kashinath Singh’s Banaras trilogy also represents the changing perspective of its author on his surroundings over the course of his lifetime. While the plot of Apnā morcā unfolds in the culture of political debate during the 1960s and early 1970s in the university milieu, Kāśī kā assī can be read as a kind of documentation on the author’s vivid relationship with a traditional quarter of the town and its lifestyle. Rehan par Ragghū, the third novel, somehow continues the sense of loss that is already present in the nostalgic mood of Kāśī kā assī . It deals with the growing disillusionment of the elder generation with contemporary society, its self-focused individualism and social modernity as such. The novel is about the betrayed hopes of a father in his children, the opening rift between generations and the general decline of values. The change of the central location of the plots in the three novels from the university quarter and from a traditional environment in the old town towards the “new colonies” also marks a shift from progressivism towards existentialism, and from topophilia to despair.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.018 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".