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Record W2914705522 · doi:10.1017/s0026749x17000257

Interrupted Sovereignties in the North-East Frontier of British India, 1787–1870

2019· article· en· W2914705522 on OpenAlexaff
Reeju Ray

Bibliographic record

VenueModern Asian Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsYork University
Fundersnot available
KeywordsSovereigntyFrontierColonialismBENGALKhasiGeographyCorporate governancePoliticsJurisdictionState (computer science)Political scienceGovernment (linguistics)Ancient historyHistoryLawArchaeologyEconomics

Abstract

fetched live from OpenAlex

Abstract The Khasi, Jaintia, and Garo Hills in the North East Frontier of British India were subject to shifting and differentiated forms of colonial governance. Defying notions of coexistence with or autonomy from colonial rule, the colonial history of this region was bound up with specific spatio-temporal constructions. By examining the nature of jurisdictional and political encounters in the Khasi, Jaintia, and Garo Hills, this article addresses the interruptions to imperial sovereignty in the Frontier. Imperial sovereignty moved in juridical forms, affecting and being affected by classificatory challenges such as hills and plains, hill tribal, and settler. The relationship between jurisdictional boundaries, plural authority, and imperial sovereignty appears in judicial and revenue files of different levels of the English East India Company government and the British government. Recurrent boundary disputes between the spatio-temporal units of hills and plains during the late eighteenth and late nineteenth centuries point towards contingent strategies of governance. The unfolding of these disputes over the course of the nineteenth century also show that law and jurisdiction as carriers of imperial sovereignty were spatially and temporally uneven. The historical processes highlighted in this article concern the sub-region of Khasi, Jaintia, and Garo Hills and parts of the Sylhet district of British Bengal, which, at present, constitute the Indian state of Meghalaya and parts of northern Bangladesh, respectively.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.391
Threshold uncertainty score0.778

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.005
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.028
GPT teacher head0.291
Teacher spread0.263 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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