Assisted Christian Schools Governance, Practices, Boards Commitments and Performance Measures in Sri Lanka
Bibliographic record
Abstract
Education has been playing the most important pivoting role in the development of human civilization in the present. Hence, education is inseparable and it is imperative to cater to the present needs of the society and prepare the society for a better future. One of the most valuable gifts that the Catholic Church has contributed is the holistic approach in the education, as we need to compete for Knowledge and wisdom; true education is not only training the mind but also the heart leading to wisdom. However the overall performance of the holistic education system faced wide spread controversy and continuing concern about how schools are being managed and controlled has led to many studies on school performance. The purpose of the study is provided evidence from single or a few perspectives such as selected indicators and school governance principals. In addition, there are many inconsistencies in the finding across the world that shows no signal school governance model is appropriate for all schools, countries and economic environments. The study has considered the three different school governance practicess of board clear funtion, sustainable policy, and board charter in capturing the effect of board governance on school performance. In addition, to elucidate school performance is dealing with board governance; the study used four perspective of balance score card as a determinant of school performance. The estimation results suggested that the board clear function, sustainable policy and board charter had significant positive driving forces on school performance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".