Constructing And Validating A Scale For Assessing The Sociability Of Teachers
Bibliographic record
Abstract
<strong><em>In the present context, educationist and education planners have started preferring social learning environments in the classrooms. Thus arises the need for teacher behaviour characteristically ‘sociable’ in nature. The ability to be in the company of others is the core of ‘sociability’. On analyzing literature, the author has identified three constructs forming the core of sociability – Trust and belonging; Sense of community; and Good working relationship. On the basis of these altogether 36 statements were formed to be answered on a 4 point scale ranging from Strongly Agree to Strongly Disagree. After establishing content validity, item validity, and construct validity, the draft tool retained thirty items. The presence of the trait constructs were established by confirmatory factor analysis. The rested reliability coefficient 0.697 upholds the consistency of the tool.</em></strong>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".