Enquiring into the Efficacy of Senior-secondary School Teachers with respect to their Locale and Organisational Climate
Bibliographic record
Abstract
The present study focuses on determining Teacher Efficacy of senior-secondary school teachers in relation to their locale and Organisational Climate. Sample of the study consisted of 400 teachers, selected through stratified random sampling, belonging to the state of Odisha.The Standardised Teacher Efficacy scale and Organisational Climate Inventory were used to measure the Teacher Efficacy and Organisational Climate of senior-secondary schools. Statistical techniques such as “t” test and Two-way ANOVA were used to find out the significant difference between rural and urban schools and to see the effect of Locale and Organisational Climate on Teacher Efficacy. The result of the study showed that rural and urban teachers don’t differ in Teacher Efficacy. On the other hand difference was marked between open and closed climate schools in Teacher Efficacy. The result of two way ANOVA revealed that Locale of senior-secondary school teachers is not affecting the Teacher Efficacy where as Teacher Efficacy is affected by the Organisational Climate of the school. The interaction effect of Locale and Organisational climate on Teacher Efficacy was found statistically significant at 0.05 level. Key words: Teacher Efficacy; Secondary School; Locale; Organisational Climate
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".