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Record W2177336876 · doi:10.5539/ass.v11n28p212

Bandwagoning, Balancing, and Small States: A Case of Sri Lanka

2015· article· en· W2177336876 on OpenAlexvenueno aff
Sandya Nishanthi Gunasekara

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsSri lankaPaceForeign policyIndependence (probability theory)Political scienceDevelopment economicsPoliticsBalance (ability)Power (physics)Political economyEconomicsLawTanzaniaGeographySocioeconomics

Abstract

fetched live from OpenAlex

This article reviews two popular foreign policy orientations of small states: bandwagoning and balancing. The policies show how small countries can effectively engage in addressing great power politics. The paper explores two critical foreign policy decisions made by Sri Lanka after its independence in 1948: the signing of the Defense agreement and External Affairs agreement with the British government in 1948 and proposing, as a collective decision of Non-aligned members, to make the Indian Ocean a pace zone in 1971. The first decision reflected the way Sri Lanka bandwagoned with a threatening great power: Britain. The second incident referred to its desire to balance itself against threatening powers during the Cold War. This article accepts that Sri Lanka’s choice of either aligning with powerful countries or aligning with small powers in the Non-aligned movement offset disadvantages traditionally associated with Sri Lanka. The overall findings of the study suggest that both bandwagoning and balancing policies helped Sri Lanka to derive specific advantages and ensure its national interests.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.581
Threshold uncertainty score0.417

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 studies0.0010.001
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 head0.028
GPT teacher head0.320
Teacher spread0.291 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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