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Analysis of the district system of physical culture and sports (on the example of Petrogradsky District of Saint Petersburg)

2025· article· en· W7115684093 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUchenye zapiski universiteta imeni P F Lesgafta · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Behavioral Studies
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsPhysical cultureSaint petersburgVariety (cybernetics)PopulationSAINTOrganizational culture

Abstract

fetched live from OpenAlex

The purpose of the study is to analyze the effectiveness of the district system of physical culture and sports (using the Petrogradsky District of Saint Petersburg as an example) in creating conditions for engaging in health-improving physical activities. Research methods and organization. Methods of systematizing legal documents, analyzing scientific and methodological literature on the research topic; studying and summarizing statistical observation materials according to Form 1-FK for the period 2019-2023 in the Petrogradsky District of St. Petersburg regarding the organization of physical culture and health-improving activities in organizations of various departmental affiliations were used. Research results and conclusions. It has been identified that the district system of physical culture and sports is a dynamically developing social system. The main indicators of its functioning show positive trends. Within the framework of the district system of physical culture and sports, a variety of physical culture and sports services are provided by organizations and institutions to different population groups.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.257
Teacher spread0.240 · 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