Bibliographic record
Abstract
The objective of this study is to study the effectiveness of psychological empowerment relying Shafiabadi's multiaxial pattern on organizational commitment of high school teachers in district 3 of Tehran.The study population consisted of 100 high school teachers in the third district of Tehran city that 40 people were selected as the sample size and simple random sampling in order to substitute the considered persons into the research was used.In order to collect data.Two questionnaires of psychological empowerment and standard organizational commitment were used.Descriptive statistical methods including mean, percentage, frequency and inferential statistics such as posttest covariance analysis removing the effect of pretest, Scheffe test, independent t-test and one-way analysis of variance were used.The results of the analysis showed that education program of psychological empowerment based on Shafiabadi's multiaxial pattern had been effective on total score of organizational commitment.The findings from related statistical test indicated that psychological empowerment based on Shafiabadiis multiaxial pattern has significant difference on the components of emotional and continued commitments.But, it did not have any significant difference and effect on the component of normative commitment.The results of one-way analysis of variance showed that there is not a significant relationship between psychological empowerment of teachers by education level and work experience factors.Also, the results of one-way analysis of variance and Scheffe's test represented that there is a significant relationship between age groups (31 to 40 years) with those of (41 to 50 years) in terms of the effectiveness of psychological empowerment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.889 | 0.852 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".