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Record W603352344 · doi:10.1017/cbo9780511616112

The India-Pakistan Conflict

2005· book· en· W603352344 on OpenAlexaff
T. V. Paul

Bibliographic record

VenueCambridge University Press eBooks · 2005
Typebook
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsMcGill University
Fundersnot available
KeywordsRivalryPoliticsPolitical economyPolitical sciencePower (physics)International relationsDevelopment economicsGreat powerSociologyLawEconomics

Abstract

fetched live from OpenAlex

The India-Pakistan rivalry remains one of the most enduring and unresolved conflicts of our times. It began with the birth of the two states in 1947, and it has continued ever since, with the periodic resumption of wars and crises. The conflict has affected every dimension of interstate and societal relations between the two countries and, despite occasional peace initiatives, shows no signs of abating. This volume, first published in 2005, brings together leading experts in international relations theory and comparative politics to explain the persistence of this rivalry. Together they examine a range of topics including regional power distribution, great power politics, territorial divisions, the nuclear weapons factor, and incompatible national identities. Based on their analyses, they offer possible conditions under which the rivalry could be terminated. The book will be of interest to scholars of politics and international relations, as well as those concerned about stability and peace in South Asia.

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: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.255
Teacher spread0.230 · 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

Citations126
Published2005
Admission routes1
Has abstractyes

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