Ketersediaan Tempat Bermain/Berolahraga Di Sekolah Dasar Negeri Se-Kecamatan Demak Kabupaten Demak
Bibliographic record
Abstract
The purpose of this study was to determine the availability and standardization of playgrounds/sports in public elementary schools throughout the Demak District, Demak Regency. This study uses a mixed research method (mix-method). The sample collection technique that will be used is Proportional Random Sampling. The sample to be studied in this study is a place to play/exercise in State Elementary Schools throughout the Demak District, Demak Regency, amounting to 6 State Elementary Schools. Collecting data using observation, interviews, and documentation. The results of the research from the availability and standardization of playgrounds/sports that the availability in elementary schools throughout the Demak District, Demak Regency is good and standardization still has shortcomings where the results obtained in the field are not fully above the standard but there are some that are still below the standard. The conclusion from the research is the availability of public elementary schools in Demak District, Demak Regency in good condition and used properly. And the standardization of public elementary schools throughout the Demak District, Demak Regency is stated to still have shortcomings where the results obtained in the field are not fully above the standard, but there are some that are still below the standard.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".