The Structural Relations of Parameters of School-Based Management Based on Decentralization, Responsibility, Participation, Organizational Culture, and Organizational Commitment
Bibliographic record
Abstract
The aim of this study is to carry out the structural relations of parameters of school-based management based on decentralization, responsibility, participation, organizational culture, and organizational commitment. This study is an applied and survey. The statistical population of this research is all of the managers and teachers of Tehran city, of which 148 people (119 teachers and 29 managers) have been selected based on random sampling. The data have been collected using a questionnaire, whose admissibility and constancy have been proved in accordance to the view of related experts. In order to analyze data, Lisrel software has been used. Findings of study show that among the studied indexes, the organizational commitment with a path coefficient of 0.89; responsibility with a path coefficient of 0.86; participation with a path coefficient of 0.78; decentralization with a path coefficient of 0.73; and organizational culture with a path coefficient of 0.69, respectively maintain the most impact on the implementation of school-based management system in the schools of Tehran city. The principle of school management (school-based management) coupled with participative management is one of the approaches adopted by the majority of pioneering countries in a bid to enhance the efficiency of school management and to improve the quality of academic progress of pupils, which should be taken into consideration by the planners and decision-makers of our country’s educational system. The theoretical and applied allusions of the findings were discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".