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Record W4414662427 · doi:10.51870/knhe2566

What Happens When Non-Western Voices Enter International Relations? Kautilya and the Politics of Access

2025· article· en· W4414662427 on OpenAlexafffundabout
Neerja Goyal

Bibliographic record

VenueCentral European Journal of International and Security Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsScholarshipEssentialismPoliticsBinary oppositionTokenismInclusion (mineral)Diversity (politics)Inclusion–exclusion principleFocus (optics)

Abstract

fetched live from OpenAlex

This paper shifts the focus from the familiar question of why is there no non-Western theory in International Relations (IR) to a process-oriented inquiry of what happens to non-Western perspectives when incorporated into IR? While critical IR scholarship has explored the way ethnocentrism, essentialism and empire shapes knowledge within IR, the mechanisms and processes of marginalisation that occur when non-Western voices are included in IR remain less understood. To address this gap, the paper conceptualises marginalisation not as a static outcome but as a dynamic process unfolding in stages. Drawing on the case of Kautilya, an Indian strategic thinker, and autoethnographic accounts of engaging with Kautilya as student, researcher and teaching assistant in both India and Canada, I develop the concept of ‘exclusion with access’. I argue that ‘exclusion with access’ encompasses two key dynamics. First, ‘exclusion with access’ offers a lens to analyse the dynamics of inclusion and exclusion in IR, particularly the superficiality, tokenism and symbolism of diversity and inclusion in the discipline. Second, ‘exclusion with access’ represents a distinctive stage of integrating non-Western thought into IR, one succeeding the stages of exclusion and formal exclusion. Ultimately, by proposing the lens of ‘exclusion with access’, I propose challenging the binary of inclusion-exclusion in IR and exploring access’, I propose challenging the binary of inclusion-exclusion in IR and exploring the specifics, conditions and mechanisms of integrating non-Western voices into IR.

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 score0.343
Threshold uncertainty score0.381

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.336
Teacher spread0.307 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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