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Record W2967146087 · doi:10.1080/08865655.2019.1646149

Re-engaging the “International”: A Social History of the Trans-Himalayan Borderlands

2019· article· en· W2967146087 on OpenAlexvenueno aff
Nimmi Kurian

Bibliographic record

VenueJournal of Borderlands Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsNarrativeState (computer science)MetaphorPower (physics)SociologyChinaDualismField (mathematics)ReductionismEpistemologyPoliticsPolitical scienceLawLiterature

Abstract

fetched live from OpenAlex

The paper critically interrogates a central paradox in India’s emerging border discourse. Although a feel-good narrative of rethinking borders as bridges, it has been curiously resistant to step away from the reductionist logic of borders as barriers. The paper argues that this dualism can be traced to conflicting geopolitical and sociological notions of the international that have resulted in a range of contradictions and distortions at the borders. The paper will engage with the puzzle as to why the trans-Himalayan trader, historically the central protagonist has today become a rather forlorn metaphor of a conflicted discourse. It will draw inferences based on field observations in Dharchula, an ancient trading town in northern India located on the trans-Himalayan trading routes with Nepal and China. These offer interesting insights on how state power and regulation as well as new border alignments have affected everyday lives at the borders. The paper concludes by arguing for discursive cross-fertilizations as first steps towards recognizing the borderlands as the agentive sites that they are.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.039
GPT teacher head0.311
Teacher spread0.273 · 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 designQualitative
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

Citations2
Published2019
Admission routes1
Has abstractyes

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