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Record W3025967734 · doi:10.21638/spbu11.2019.308

DIET FOOD IN THE PUBLIC CATERING SYSTEM - AN IMPORTANT DIRECTION IN THE HEALTH CARE OF RUSSIA POPULATION

2019· article· ru· W3025967734 on OpenAlexaboutno aff
Viktor V. Zakrevskii, С А Лопатин

Bibliographic record

VenueВестник Санкт-Петербургского университета. Серия 11. Медицина · 2019
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationBusinessPer capitaFish <Actinopterygii>Catering industryMarketingFood industryEconomic growthAgricultural economicsEnvironmental healthFood scienceEconomicsMedicineBiology

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.040
GPT teacher head0.255
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

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