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Record W2607268492 · doi:10.1080/14678802.2017.1292682

Internal borderlands: architectures of force and state expansion in India’s central ‘frontier’

2017· article· en· W2607268492 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

VenueConflict Security and Development · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsCarleton University
FundersLunds Universitet
KeywordsInsurgencyFrontierState (computer science)UnderdevelopmentPolitical economyState-buildingPolitical scienceGovernment (linguistics)State formationHegemonyDevelopment economicsSociologyLawPoliticsEconomics

Abstract

fetched live from OpenAlex

India’s Maoist insurgency, a conflict in the geographic heartland of the country, is often portrayed as symptomatic of the underdevelopment and weak governance of the region. Rhetorically, the state has pursued a counter-insurgency strategy premised on a tandem of ‘security’ and development, while emphasising the conflict zone’s rootedness in the nation. This discourse ignores that historically the state has treated the region as a hostile ‘borderland’. This paper argues that the Indian state’s counter-insurgency is structured around a set of strategies of absorption. Drawing on James C. Scott’s examination of Zomia, as well as Henri Lefebvre’s theories of the state and space, this paper examines processes of militarised state expansion. Focusing on the construction of roads, government-controlled resettlement camps, forward operating bases and militarised schools, this paper conceptualises these particular state spaces as ‘architectures of force’: material manifestations of a larger project of highly militarised and acutely violent state-building.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.285
Teacher spread0.267 · 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