Vegetarianism in Food-Based Dietary Guidelines
Bibliographic record
Abstract
Plant foods are staples of many cultures in the world.Conversely, the appearance of vegetarianism in Western countries is a relatively recent phenomenon, showing an upward trend: people following vegetarian diets (both lacto-ovo-vegetarian-LOV and vegan-VEG), account today for about 10% of the Western population.According to the principle of non-discrimination, the most recent national dietary guidelines for the general population (DGLs) of some Western countries have adapted their contents to comprise vegetarian eating patterns.Moreover, since 1997, specific vegetarian food guidelines (VFGs) were developed.The aim of this review was to summarize and compare the information and recommendations of the foodbased dietary guidelines (FBDGs) contained in the DGLs usable by vegetarians, and in the main VFGs; to extract a list of basic criteria for the planning of a well-balanced vegetarian diet, and to identify the most valid FBDG for vegetarians.An Internet search was conducted in the English language, in order to identify national DGLs applicable to vegetarian dietary patterns, and international VFGs.Four Western DGLs and six VFGs were selected.Compared to the majority of DGLs, VFGs are not an "adaptation" of omnivorous (OMN) eating patterns to vegetarian ones, but rather devoted guides: they include only foods consumed by vegetarians, and take into account their specific nutritional needs.VFGs offer qualified advice to meet the most updated standards of adequacy and safety of the diet: the varied consumption of all plant foods, mainly unprocessed; the respect of individual's calorie requirements; the optional addition of small amounts of foods of animal origin (dairy/ eggs); the attention towards some potentially critical nutrients.According to this criteria, the VFG for North American Vegetarians can represent the most accurate and practical model: not only is it consistent with research on the adequacy of vegetarian diets, but it is applicable both to LOV and VEG eating patterns and to all lifecycle stages beyond 4 years of age.
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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 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".