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Hygiene in supporting scientific and technological development of the country and sanitary and epidemiological welfare of the population (to the 130th anniversary of the Federal Scientific Centre of Hygiene named after F.F. Erisman)

2021· article· en· W3199344663 on OpenAlexaboutno aff
Анна Попова, Gennadii G. Onishchenko, Valerii N. Rakitskii, Kuchma Vr

Bibliographic record

VenueHygiene and Sanitation · 2021
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationMultidisciplinary approachService (business)HygieneHazardQuarter (Canadian coin)Political scienceBusinessEconomic growthEnvironmental healthMedicineGeographyMarketingEconomicsLaw

Abstract

fetched live from OpenAlex

Introduction. Historical analysis is extremely important in assessing the development and achievements of scientific schools and scientific centres. This is especially true concerning research centres operated continuously from the end of the 19th century to almost the first quarter of the 21st century, which include the Federal Scientific Center for Hygiene (FSCH), named after F.F. Erisman of the Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing. The purpose of the study is to analyze the results, achievements and prospects for further development of the FSCH as the head multidisciplinary scientific institution of the Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing (Rospotrebnadzor). Materials and methods. Expert-analytical, historical research has been carried out. Analysis materials include the main results of the centre’s activities in the historical aspect, scientific achievements of the last quarter of a century, plans, directions for ensuring the scientific and technological development of the country in the field of hygiene and health protection, ensuring the sanitary and epidemiological wellbeing of the country’s population. Results. The main stages of the formation and development of the FSCH are associated with scientific and technological revolutions, technical progress, the development of all sectors of the national economy. The results of scientific research have made it possible to establish the nature and extent of the impact of environmental factors, industrial and educational environment on the health of various groups of the population. At the turn of the century, the FSCH got involved in nanomaterials and nanotechnologies hazard assessment. Fundamental studies of the FSCH made it possible to reveal the modern mechanisms of the formation of biocenoses of the environment of new innovative complexes with an assessment of the health risk, to establish the effect of the components of the formulations on the mutagenicity of pesticides. An assessment of the risk to the population due to the complex intake of pesticides into the body is also given. FSCH effectively participates in the implementation of national projects “Demography”, “Ecology”, “Clean Air”. Conclusion. FSCH contributed to the provision of scientific and technological development of the country and the sanitary and epidemiological wellbeing of various population groups. The development of the FSCH is associated with participation in the implementation of fundamental and exploratory research approved by order of the Government of the Russian Federation, sectoral research programs of Rospotrebnadzor, national projects “Demography”, “Ecology”, “Clean Air”, events of the Decade of Childhood (2018-2027).

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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 designNot applicable
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

Citations12
Published2021
Admission routes1
Has abstractyes

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