Impacto de la producción de berries sobre el comportamiento alimentario en una población de Jalisco, México
Bibliographic record
Abstract
In Zapotlán el Grande (ZEG) the production of berries has increased drastically, while traditional crops has decreased. The availability of these new foods may change eating habits (EH) of the population. The objective of this study was to assess the frequency and amount of berry consumption in the adult population of Ciudad Guzmán (ZEG, Jalisco, Mexico), and to identify if these have become part of their EH. A total of 384 adults, from 18 to 65 years old, residents of Ciudad Guzmán, were surveyed with an adapted version of a food consumption frequency questionnaire. 34% of participants reported never consuming blueberries, raspberries or blackberries, while 39% eat them occasionally. On average, none of the berries was consumed in the amount proposed by the Mexican System of Equivalent Foods (SMAE), and only accounted 18% of the ration suggested by the World Health Organization (WHO). It is concluded that although the amount of berries consumed is less than the recommended by the WHO or SMAE, a quarter of the population assessed has incorporated berries into their usual diet, which shows that their availability is generating a change in the EH of the population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".