Analisa Kinerja Guru Smk “Kanada Sakura Indonesia†Pekanbaru Sebagai Dampak Dari Lingkungan Kerja Di Sekolah
Bibliographic record
Abstract
The research was conducted at the Canadian Sakura Indonesia Vocational   School in Pekanbaru. The aim of this research is to determine the influence of the work environment on teacher performance at the Sakura Indonesia Canadian Vocational School in Pekanbaru. Data analysis in this research uses quantitative methods. The sample taken in this research was 32 people, and the t-count results were greater than the t-table (5.845>2.04227). So it can be concluded that there is a significant influence between the work environment on teacher performance. Then the simple linear equation is Y = 11.760 + 0.606X. From the existing regression equation it can be concluded that the regression coefficient of bx is positive. This shows that if the work environment variable is increased the equation will also lead to an increase in the teacher performance variable. The R Square result of 0.532 shows that the work environment influences teacher performance by 53.2% and the remaining 46.8% is influenced by other independent variables which were not observed in this study
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".