The Degree of Practicing Distributed Leadership by Public Secondary School Principals in Amman Governorate and its Relation to Teachers’ Attitudes toward Work
Bibliographic record
Abstract
This study aimed at finding out the degree of practicing distributed leadership by public secondary school principals in Amman governorate and its relation to teachers’ attitudes toward work. The sample of the study consisted of (347) male and female teachers. They were chosen by using stratified random sample method. The descriptive correlational methodology was used. A questionnaire was used to collect data, after finding it validity and reliability. The findings of the study showed that the degree of practicing distributed leadership by public secondary school principals in Amman governorate from teachers’ point of view was low, The mean was (2.28) and a standard deviation of (0.23). The field of “vision, mission and goals” came in the first rank. Its mean was (2.31) and a standard deviation of (0.37). The field of leadership practices came in the final rank. The mean was (2.25) and a standard deviation of (0.35) and the level of teachers’ attitudes toward work was low too. There was a positive significant correlational relationship at (α ≤ 0.05) between the degree of practicing distributed leadership by public secondary school principals and the level of teachers’ attitudes toward work. The Pearson correlation coefficient value was (0.30). The most important recommendations are: Conducting training courses on the distributed leadership of the principals of public secondary schools in Jordan. And that the Ministry of Education adopt the distributed leadership as a focal point in the evaluation process and the selection of school principals.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".