Food and Nutrient Intakes of Jamaican Immigrants in Florida
Bibliographic record
Abstract
This study assessed dietary intakes, nutritional composition, and identified commonly eaten foods among Jamaicans in Florida. Dietary intake was assessed among 44 study participants to determine commonly eaten foods and nutrient composition. Weighed recipes were collected and analyzed to determine nutrient composition for traditional foods. Top foods that contributed to macronutrient and micronutrient intake were identified and adherence to dietary recommendations was evaluated. Mean daily energy intake was 2879 (SD 1179) kcal and 2242 (SD 1236) kcal for men and women respectively. Mean macronutrient intakes were above dietary recommendations for men and women. Top foods contributing to energy included rice and peas, sweetened juices, chicken, red peas soup, and hot chocolate drink. Results showed sodium intake was more than double the adequate intake estimate (1300-1500 mg). Findings highlight the need to include commonly eaten traditional foods in dietary questionnaires to accurately assess diet-related chronic disease risk. Findings have implications for risk factor intervention and prevention efforts among Jamaicans.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".