Comparative Comparison of Implementing School-Based Management in Developed Countries in the Historical Context: From Theory to Practice
Bibliographic record
Abstract
This paper aims to study the comparative comparison of implementing school-based management in developed countries in the historical context: from theory to practice. School-based management is not by itself and objective but a valuable tool in order to reach sagacity, capabilities and the enthusiasm from most people having shares in school. Emphasizing the empowerment and the promotion of the skill levels and the abilities concerned with the member's active in the school specially the managers, the teachers, and the student’s parents along with the boards motivate their endeavor toward cooperative issues. The findings show the developed countries such as England, Mexico, Australia, The U.S. etc. Making their school management decentralized and autonomous along with submitting full authority to their local councils and their parent -teacher associations have improved their school management qualities and have been able to bring all main agents in the schools into participant in decision making affairs. Of the other strategies concerning the increase in cooperative decision making and turning schools more autonomous, used by leading countries, is to self-centralize (school-based management) and also manage schools in the form as board of trustees in such countries for the managers, the board and the others involved have greater authority to manage school affairs among which countries such as England, Canada, Spain, Iran, etc. can be noted.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".