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Record W2612932332

Examining Subalterneity in Hansda Sowvendra Sekhar’s “The Adivasi Will Not Dance”

2017· article· en· W2612932332 on OpenAlexvenueno aff
Abin Chakraborty

Bibliographic record

VenuePostcolonial text · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsSubalternOppressionNarrativeSituatedContext (archaeology)ConsciousnessDanceAgency (philosophy)Gender studiesSociologyRepresentation (politics)HistoryAestheticsAnthropologyLiteratureArtPolitical scienceSocial sciencePhilosophyEpistemologyArchaeologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Adivasis of India have been subjected to systematic oppression for centuries and postcolonial India continues with the same processes by different means. Hansda Sowvendra Sekhar's short story, The Adivasi Will Not Dance explores the subalternization of such communities as well as the evolution of subaltern consciousness, as manifested by the protagonist of the text, Mangal Murmu, whose monologue constitutes the narrative. paper will not only explore Sekhar's representation of such subaltern consciousness, situated within the context of contemporary conflicts, but also intervene in vexed debates about representing the subaltern, especially in the context of Indian Writing in English where subalternized characters, especially Adivasis, either remain scarce or persist as stereotypes bereft of agency.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.346
Teacher spread0.267 · 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 teacher head, not a consensus.

Study designObservational
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

Citations3
Published2017
Admission routes1
Has abstractyes

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