Manajemen Kolam Renang di Kabupaten Kebumen Tahun 2020
Bibliographic record
Abstract
The purpose of this study was to find out how to plan swimming pools in Kebumen Regency in 2020, To find out how to organize swimming pools in Kebumen Regency in 2020, To find out how to move swimming pools in Kebumen Regency in 2020, To find out how to supervise swimming pools in Kebumen Regency in 2020. 2020. This research is a qualitative research, the method used to collect data is interviews. The subjects in this study were the owners, managers and visitors of swimming pools in Kebumen Regency. The data analysis technique used is descriptive analysis in a narrative manner. Planning for swimming pool management in Kebumen Regency is done quite well, each swimming pool has a short, medium and long term plan. The organization of swimming pool management in Kebumen Regency is still not going well, some swimming pools do not have a management organizational structure. The implementation of swimming pool management in Kebumen Regency is going quite well, every employee and employee is working satisfactorily. Supervision carried out by swimming pool owners in Kebumen Regency is carried out by verbal coordination, reporting is carried out only based on bookkeeping.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".