Analysis of the district system of physical culture and sports (on the example of Petrogradsky District of Saint Petersburg)
Bibliographic record
Abstract
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.
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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 | 0.003 | 0.003 |
| 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".