Examination of the Level of Adequacy of Sports Facilities in Terms of Popularization of Sports in Bingol
Bibliographic record
Abstract
In this study, the level of adequacy of sports facilities in Bingol province in terms of popularization of sports in the city and the general tendency of the citizens of Bingol province towards sports were examined. A total of 610 volunteers from various professions, age groups and gender groups from Bingol city center participated in this study. Questionnaires were applied to the subjects who participated. There are 31 questions in the questionnaire. The sample group of tradesmen and their customers in Bingol province were contacted by random sampling method. Survey questions were asked face to face for the purpose of getting the necessary data for the goal of the research. In the evaluation of the obtained data, the frequency and percentage distributions were calculated and tested by applying the Chi-square test to see if there are any relationships between the variables. In the light of this research, it is observed that a large majority of people living in Bingol are interested in sports, and football is the first among all sports branches of interest. The most important factor preventing sports being more widespread was found to be the lack of adequate sports facilities in the city, and it was also observed that public institutions and organizations lack their own sports facilities. For sports programs and facilities to be newly constructed, the public's interest and expectations should be taken into account. It has also been understood that in order to popularize mass sports events in Bingol, the number of sports facilities and sports clubs should be increased too.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".