DIET FOOD IN THE PUBLIC CATERING SYSTEM - AN IMPORTANT DIRECTION IN THE HEALTH CARE OF RUSSIA POPULATION
Bibliographic record
Abstract
The article presents data on the state of public catering in Russia, peculiarities of eating behavior of various categories of the population in modern conditions. It is noted that most adults consume a significant amount of animal fats, trans isomers of fatty acids, salt, simple carbohydrates and an insufficient amount of vegetables and fruit, fish and seafood. It also states he absence of a link between the nutritional behavior of the population, depending on their mood and psychological status, and the technological and assortment policies of food industry enterprises, focused on the use of modern advances in scientific and technological progress. The article highlights key indicators of the catering market of Russia, the USA and Canada, such as the average per capita cost of food “outside the house”, the share of food “outside the house” in the structure of food costs and catering market volume. A positive result of a systematic approach to the organization of diet in the USSR is shown. The conclusion about the feasibility of a phased restoration of dietary elements outside the home for all categories of consumers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".