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Record W2124736416 · doi:10.1111/1468-2427.12192

The Postcolonial City and its Displaced Poor: Rethinking ‘Political Society’ in <scp>D</scp>elhi

2014· article· en· W2124736416 on OpenAlexaff
Sanjeev Routray

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoliticsPolitical scienceSociologyPolitical economyLaw

Abstract

fetched live from OpenAlex

Abstract P artha C hatterjee has produced a compelling analysis of political modernity in I ndia. This article evaluates the significance of his conceptualization of ‘political society’ for understanding political practices in D elhi by looking at three issues: the relevance of proof of identification documents and various enumeration‐related practices for proving citizenship; a court case concerning the resettlement of a particular population in D elhi; and the role of popular intermediaries from the community in channeling the political energies of poor people. I argue that C hatterjee's theoretical contribution allows for a contextual analysis of the specificity of political experience in I ndia if we treat his schematic formulation heuristically, by focusing on its analytical strengths rather than ideal prescriptive standpoints. His ideas about the enforcement of bourgeois norms, subaltern collective practices, and hegemonic liberal state institutions allow us to go beyond a culturalist analysis of political society. In particular, they help us understand how the experience of democracy reflects the locational disadvantages of various groups. Further, while state institutions, including the judiciary system, protect the interests of dominant groups, they also respond to various forms of exclusion. My empirical findings corroborate C hatterjee's arguments concerning political society while also raising critical points for rethinking his theoretical framework.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.103
GPT teacher head0.421
Teacher spread0.318 · 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.

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

Citations14
Published2014
Admission routes1
Has abstractyes

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