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Record W2509809896 · doi:10.1080/21681376.2016.1209983

Challenges and opportunities for more integrated regional food security policy in the Caribbean Community

2016· article· en· W2509809896 on OpenAlexafffund
Kristen Lowitt, Arlette Saint Ville, Caroline S. M. Keddy, Leroy E. Phillip, Gordon M. Hickey

Bibliographic record

VenueRegional Studies Regional Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicClimate change impacts on agriculture
Canadian institutionsMcGill University
FundersInternational Development Research Centre
KeywordsFood securityRegional integrationLimitingRegional policyCaribbean regionPolitical scienceInternational tradeEconomic growthRegional scienceBusinessEconomicsGeographyEcologyLatin AmericansBiology

Abstract

fetched live from OpenAlex

The Caribbean Community (CARICOM) has recognized regional integration as an important development strategy for addressing the unique vulnerabilities of its member small island developing states (SIDS). Food security in the Caribbean is a fundamental social and ecological challenge in which the dynamics of regional integration are increasingly playing out. CARICOM members have subsequently identified a number of shared food security problems and have endorsed regional goals and approaches to address them; however, progress towards solutions has been slow. Recognizing that evidence-based studies on the potential factors limiting sustained progress are lacking, we undertook a comparative policy analysis to understand better the various approaches and framings of food security at national and regional levels with a view to assessing coherence. We identify considerable divergence in how regional and local policy institutions frame and approach food security problems in CARICOM and then identify ways through which the policy integration objectives for enhanced regional food security might be progressed, with a particular focus on social learning.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.395
GPT teacher head0.355
Teacher spread0.040 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations16
Published2016
Admission routes2
Has abstractyes

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