Improving the Vocational School Performance Through the Good School Governance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study aims to analyze the implementation of Good School Governance in vocational schools in Indonesia as a response of the high number of inappropriate employment to the vocational graduates’ competencies. This present quantitative descriptive study applies the purposive sampling technique by picking up 852 vocational school principals and teachers from 34 provinces in Indonesia. The researcher found a model for improving the vocational school performance based on good school governance in Indonesia covering Transparency, Accountability, Responsibility, Autonomy, Fairness, Participation, Effectiveness and Efficiency, and Consensus-Oriented principles. Among these eight factors, Responsibility is assessed the highest with the Mean score of 3.25, while both Consensus-Oriented and Participation are labelled as “Not Good” with the Mean scores of 2.93 and 2.82 respectively. However, the results of the recent study need to be legitimated in order to formally applied in all vocational schools in Indonesia.
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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 | 0.001 | 0.012 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it