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Record W2215450293 · doi:10.1108/aeds-06-2015-0023

Can the two Asian giants reach a political settlement?

2015· article· en· W2215450293 on OpenAlex
Ashok Kapur

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

VenueAsian Education and Development Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChinaOriginalitySettlement (finance)Value (mathematics)Asian valuesPoliticsPolitical sciencePolitical economySociologyDevelopment economicsLawEconomics

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to outline the history of the Sino-Indian conflict and to evaluate recent changes as reflected in the high level meetings between President Xi Jinping and Prime Minister Narendra Modi. It explores the evolving relationship in terms of three types of bargaining: elusive, tacit and convergent. Design/methodology/approach – By adopting a historical approach one gets a better sense of the evolving pattern of relations between China and India and the circumstances in which the evolution is occurring. Findings – China-India relations are similar to a journey where the progress is measured in terms of small steps rather than a final peace settlement. Relations have changed slowly towards a positive direction in economic relations, and there is a pattern of stability in border talks but the issue is complicated by the linkages between the Tibet question and border issues. Research limitations/implications – This topic requires considerable research because it is important for the future of Asian international relations and it is under-researched. Perhaps there could be an edited volume which brings together researchers from different backgrounds and expertise. The suggested work must be empirical but with a theoretical framework related to different types of bargaining cultures and experiences in Asia. Originality/value – As China and India evolve in their diplomatic practices and thinking, as Asian powers are readjusting their policies in the light of new circumstances, there are insights for policy analysts and practitioners in China and India among other Asian countries.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.524

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 head0.079
GPT teacher head0.420
Teacher spread0.340 · 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