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Record W4388499115 · doi:10.1080/15295036.2023.2265995

India’s internet shutdowns as biopolitics: The formation of political will and opinion through collective action under attack

2023· article· en· W4388499115 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

VenueCritical Studies in Media Communication · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theology and Sovereignty
Canadian institutionsWestern University
Fundersnot available
KeywordsDissentThe InternetPoliticsScholarshipSociologyBiopowerDemocracyLawMarketplace of ideasCollective actionPolitical sciencePublic opinionAction (physics)Government (linguistics)CensorshipLaw and economics

Abstract

fetched live from OpenAlex

During the 2020–2021 farmers’ movement in India, the central government argued that its temporary internet shutdowns in specific areas associated with the protest aimed to prevent law and order violations. Scholars have analyzed internet shutdowns as a method to control speech, which amounts to an infringement on the freedom of speech and expression. Additional studies have pointed out that such shutdowns directly interfere with the right to assembly. This paper adds to the existing scholarship by positing that internet shutdowns during mass protest movements interfere with a fundamental democracy-related value of the right to assembly, which, to borrow Salát’s phrase, is “the formation of political will and opinion.” Drawing on Foucault’s concept of biopolitics, the paper argues that shutdowns associated with collective protest should also be understood as an interference in the formation of political will and opinion by trying to manage the circulation of information and control a particular behavior, that is, dissent.

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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.284
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
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 head0.260
GPT teacher head0.495
Teacher spread0.234 · 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