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Record W2167754173

Vulnerabilities and Security Challenges of Caribbean Small States

2012· article· en· W2167754173 on OpenAlexvenueno aff
Nia Nanan

Bibliographic record

VenueCaribbean dialogue · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsArchipelagic stateSmall Island Developing StatesCaribbean regionState (computer science)Ethnic groupGeographyPolitical scienceMaritime securityCaribbean artPoliticsDevelopment economicsEconomyEthnologySociologyClimate changeLatin AmericansEconomicsLawEcology
DOInot available

Abstract

fetched live from OpenAlex

The vulnerabilities, challenges and prospects for the Caribbean region are unique and specific to the region's states. The Caribbean can be defined by geographical, ethno-historical and geo-political frameworks. Shelton Nicholls (2009) depicts the geographic definition of the Caribbean as an archipelagic group of islands while Benn and Hall (2000) describe Caribbean states in ethno-historical terms, being the islands and the adjacent coastal communities in South and Central America who share a comparable history, culture and ethnicity. This paper focuses primarily on the small states of the Caribbean region. This paper analyses all state security in the 21st century. The discourse centres on the reconfigured framework for the analysis of security in small states in the Caribbean. The paper argues that the inherent vulnerabilities of these small states perpetuate the already substantial and comprehensive security agenda facing these states. The aim is to evaluate Caribbean small states' perceptions of security within the framework of hemispheric challenges, and its applicability to the strengthening/enhancement of regional responses to such challenges.

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: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.831

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 communication0.0000.000
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 head0.033
GPT teacher head0.265
Teacher spread0.232 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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