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Record W1970246922 · doi:10.1177/0019464614525718

Desecrating the sacred taste: The making of Gurram Jashua—the father of dalit literature in Telugu

2014· article· en· W1970246922 on OpenAlexaff
Chinnaiah Jangam

Bibliographic record

VenueThe Indian Economic & Social History Review · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsCarleton University
Fundersnot available
KeywordsCasteTeluguHinduismGender studiesSociologyAestheticsHEROSanskritNationalismLiteratureHistoryReligious studiesArtPoliticsPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The experience of discrimination based on caste, especially the stigma of untouchability, never formed a part of the socio-cultural and intellectual history of modern India. This article focuses on the life of Gurram Jashua (1895–1971) and re-reads the poignant and lived experience of untouchability on the basis of his seminal autobiography and other literary texts written in Telugu. This article argues that in ideas against caste prejudices, it is the themes of self-suffering and lived experience that provide a crucial impetus to the germination of protest. Through an analysis of Jashua’s writings, especially Gabbilam, often called the Dalit Bible, this article attempts to capture and record the psychosomatic agony of living under the gaze of caste. With an untouchable whose rebellious spirit questioned the legitimacy of Hindu Brahmanical ideology cast as its hero, Gabbilam’s revolutionary intervention subverted the content and form of the classical Telugu literary sphere. It was a socially and politically relevant text because in it, Jashua also engaged with anti-colonial nationalism and other issues of his time. Jashua remains peerless in his ability to express the dark realities of caste harnessed into a literary rhythm, as he continues to be read and admired even by non-Dalits.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.044
GPT teacher head0.239
Teacher spread0.195 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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