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Record W2035512749 · doi:10.7202/016593ar

When the Subaltern Took the Postcolonial Turn

2007· article· en· W2035512749 on OpenAlexvenueno aff
John Roosa

Bibliographic record

VenueJournal of the Canadian Historical Association · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsSubalternModernityEliteColonialismPostcolonialism (international relations)SociologyPower (physics)Gender studiesHistoryAestheticsPolitical sciencePoliticsLawPhilosophy

Abstract

fetched live from OpenAlex

This essay evaluates the changing research agendas of Subaltern Studies, an influential series of books on South Asian history that began in 1982. The essay criticizes the original research agenda as articulated by the series editor, Ranajit Guha, and the subsequent agenda proposed by several members of the Subaltern Studies collective. Guha initially proposed that studies of colonial India understand power in terms of unmediated relationships between “the elite” and “the subaltern” and endeavour to answer a counterfactual question on why the “Indian elite” did not come to represent the nation. The subsequent agenda first formulated in the late 1980s, while jettisoning Guha’s strict binaries and crude populism, has not led to any new insights into South Asian history. The turn towards the issues of modernity and postcolonialism has resulted in much commentary on what is already known. Some members of the collective, in the name of uncovering a distinctly “Indian modernity” and moving beyond Western categories, have reified the concept of modernity and restaged tired old debates within Western social theory.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.042
Scholarly communication0.0140.011
Open science0.0010.006
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.265
Teacher spread0.246 · 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 designTheoretical or conceptual
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

Citations4
Published2007
Admission routes1
Has abstractyes

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