The Development of a Behavior Patterns Rating Scale for Preservice Teachers
Bibliographic record
Abstract
The purpose of this study was to develop a rating scale that can be used to evaluate behavior patterns of the organization people pattern of preservice teachers (PSTs). By reviewing the related literature on people patterns, a preliminary scale of 38 items with a five-points likert type was prepared. The number of items was reduced to 29 after obtaining expert opinions and was administered to 620 PSTs. As the results of the exploratory and confirmatory factor analysis, unlike two factors: structurist and free spirits behavior patterns, in the theory, we obtained the final scale of 15 items consisting of three factors: planners, solution-oriented and prescriptive behavior patterns. The related Cronbach Alpha value was found to be .830 for all the items. We identified that behavior patterns rating scale of the organization people pattern can be confidently applied to evaluate behavior patterns. Moreover, in this study, we obtained a contradiction between practice and theory. Thus, we provided a new idea related to behavior patterns of the organization people pattern.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".