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Record W3010752652 · doi:10.1515/asia-2019-0051

From Topophilia to Despair. Kashinath Singh’s Banaras Trilogy

2019· article· en· W3010752652 on OpenAlexaboutno aff
Heinz Werner Wessler

Bibliographic record

VenueAsiatische Studien – Études Asiatiques · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyModernityHistoryQuarter (Canadian coin)LiteratureSociologyAestheticsGender studiesArtLawPolitical science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.016
GPT teacher head0.237
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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