Hubungan Kedisiplinan Guru dengan Motivasi Belajar Siswa Kelas Tinggi SD Negeri 21 Seppang Kecamatan Ujungloe Kabupaten Bulukumba
Bibliographic record
Abstract
This study is a quantitative study with a correlation design that aims to determine whether or not there is a relationship between teacher discipline and student motivation for high grade students at SD Negeri 21 Seppang. Based on the results of descriptive statistical analysis, the results of teacher discipline research have an average of 79,26 and a percentage of 79,26% with a good category and the learning motivation of high-class students has an average of 79.0625 and a percentage of 79.0625% with a good category. Based on the results of inferential statistical analysis, the tcount value (4,33391) is greater (>) the ttable value (1.66462) at the 5% significance level. Thus H0 is rejected and H1 is accepted. The results obtained in this study are that there is a significant relationship between teacher discipline and high grade students' learning motivation at SD Negeri 21 Seppang, Ujungloe District, Bulukumba Regency.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".