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Record W4405294218 · doi:10.24158/spp.2024.10.10

Concept of ‘Health Protection’ in Russian and Foreign Preschool Education: Conceptual Approaches and Definitions

2024· article· en· W4405294218 on OpenAlexaboutno aff
Olga P. Karebina

Bibliographic record

VenueОбщество социология психология педагогика · 2024
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsHealth protectionPolitical scienceEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

The article delves into the study of the problem of conceptual and substantive provision of the process of health protection, represented in the works of Russian and foreign researchers of preschool childhood. A brief overview of the origin of the idea of health saving in Russia and the main conceptual approaches to the protection and promotion of children’s health in a preschool educational organization is given. From the standpoint of interdisciplinary aproach the interrelation of the process of health protection with various sciences is considered. In order to study more fully the formation of definitions and concepts describing health protection, examples from the works of European scientists, representatives of various scientific fields, who are united by the ideas of the Ottawa Charter of the World Health Organization, are given. The main ideas and content of the concept of salutogenesis, which has become a professional standard in the field of child health promotion in the reviewed German-language scientific works, little known to the Russian pedagogical community, are revealed. The material presented in the article made it possible, from the standpoint of an interdisciplinary approach, to scientifically substantiate the author’s concept of organizing health-protection activities in a preschool educational organization and successfully implement it in the practice of preschool education and teacher training.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.119
GPT teacher head0.328
Teacher spread0.209 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueОбщество социология психология педагогикаSame topicHuman Health and DiseaseFrench-language works237,207