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Record W2597413864 · doi:10.1080/1600910x.2016.1258586

<i>Bandh</i>politics: crowds, spectacular violence, and sovereignty in India

2016· article· de· W2597413864 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDistinktion Journal of Social Theory · 2016
Typearticle
Languagede
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsMcGill University
FundersWenner-Gren Foundation
KeywordsHinduismHindu nationalismSovereigntyPoliticsNationalismState (computer science)CrowdsPolitical scienceLawPerformative utteranceSociologyPolitical economyReligious studiesComputer securityAesthetics

Abstract

fetched live from OpenAlex

In 2002, in Gujarat, India, the Hindu nationalist organization, VHP (World Hindu Council), called for a state-wide bandh – a shutdown of shops, offices, businesses, and transportation – to protest the death of Hindu activists by a Muslim mob. During the state-endorsed bandh, Hindu activists and the wider public, supported by the police and politicians, attacked Muslims with impunity. While the ruling Hindu nationalist regime claimed that the violence was spontaneous rioting, activists and survivors emphasized the organized nature of the massacre. If crowds are understood as a performative, and not simply a political tool, then the bandh is a form of political drama when crowds perform claims to sovereignty. Bandh politics entangle multiple audiences, anticipate public violence, invite participation from state and non-state actors, and symbolize popular sovereignty. Bandh politics transformed state-backed public violence against Muslims in 2002 into a mass protest that enabled new forms of solidarity between the Hindu nationalist regime, state officials, and the wider public. Bandh politics is neither instrumental nor spontaneous, but more like a wager that enables political actors to seize, stage, and frame crowd violence as the will of the people.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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