Challenges and opportunities for more integrated regional food security policy in the Caribbean Community
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".