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Record W4309456770 · doi:10.25071/1913-9632.39656

Politics Against (De)politicization: The Basis and Crisis of Contemporary Student Movements in India

2022· article· en· W4309456770 on OpenAlexvenueno aff
Anubhav Sengupta

Bibliographic record

VenueLeft History An Interdisciplinary Journal of Historical Inquiry and Debate · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityArticulation (sociology)State (computer science)PoliticsSociologyContext (archaeology)Resistance (ecology)Political economyPolitical scienceGender studiesLawEpistemologyHistory

Abstract

fetched live from OpenAlex

In the context of worldwide student protests against neoliberal economic agenda and depoliticizing market rationality, the essay seeks to understand the basis of ongoing student protests in India. On the basis of a case study of a radical left student organization from the state of West Bengal, India, the essay demonstrates that the dynamics of student protests in India is rooted in resistances against a state-sponsored depoliticization. The resistance is also against a structure of domination, legal and extra-legal that sustains such depoliticization in campuses as well as in the society at large. Borrowing framework from the studies in subjectivity, the essay argues that the basis of Indian student protests is anchored in a historically grounded subjectivity where students have often been called upon as a young citizen, responsible to the nation and people. At the same time, the crisis of these protests is born out of the lack of having a contemporary form of the said political subjectivity, enabling a re-articulation of the historical relationship between student, people and state-nation.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.015
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.021
Scholarly communication0.0120.003
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.059
GPT teacher head0.293
Teacher spread0.233 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueLeft History An Interdisciplinary Journal of Historical Inquiry and DebateSame topicIndian History and PhilosophyFrench-language works237,207