Comparative analysis of dietary guidelines in the Spanish-Speaking Caribbean
Bibliographic record
Abstract
OBJECTIVE: Dietary guidelines are important education and policy tools to address local nutrition concerns. The current paper presents a comparative analysis of nutrition messages from three Spanish-speaking Caribbean countries (Cuba, Puerto Rico and Dominican Republic) to explore how these dietary guidelines address common public health nutrition concerns, contextualized in different changing food environments and food culture similarities. DESIGN: Qualitative, comparative analysis of current dietary guideline documents and key recommendations. RESULTS: Key recommendations were categorized into sixteen themes (two diet-based, ten food-based and four 'other'). Only the Cuban dietary guidelines included diet-based key recommendations. Of the ten food-based key recommendations, only four themes overlapped across the three dietary guidelines (the encouragement of fruits and vegetables, addressing protein sources and fat). Other overlaps were found between dietary guideline pairs, except between Cuba and Puerto Rico. Further analysis revealed differences in levels of specificity and acknowledgement of local dietary patterns and issues, as well as the need to revise the guidelines to account for current scientific advances. CONCLUSIONS: The present study underscored the importance of context in the framing of dietary advice and the influence of national socio-economic and political situations on nutrition policy and education efforts. The results contribute to inform efforts to improve nutrition communication in the region and among migrant communities.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".