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Record W2618274868 · doi:10.7771/1481-4374.2947

The Indian Empire and its Colonial Practices in South Asia

2017· article· en· W2618274868 on OpenAlexaff
Achyut Aryal

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicColonial History and Postcolonial Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOppressionEmpireColonialismOrientalismIdeologyPower (physics)Gender studiesHegemonyPolitical scienceHistorySociologyAncient historyLawPolitics

Abstract

fetched live from OpenAlex

In his article "The India, Empire and its Colonial Practices in South Asia" Yubraj Aryal claims that Bharatiya discourse supports colonization in South Asia. This discourse justifies oppression of institutions, practices, of the non-Bharatiya colonized. The article examines Indian Empire's colonialism toward the weaker, smaller nations along its border and the Bharatiya ideology at the heart of the repressive empire, which is taken to represent the South Asian subcontinent. The article looks at the way in which Bharatiya is perhaps a more oppressive ideology than Orientalism and gives a glimpse into how society, culture, history, and textuality work around power relations to form a specific form of oppression.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0070.015
Scholarly communication0.0080.002
Open science0.0000.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.386
Teacher spread0.326 · 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
GenreOther

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

Citations1
Published2017
Admission routes1
Has abstractyes

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