Measuring Adolescent Attitudes Toward Classroom Incivility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study was to develop a scale that measures adolescents’ attitudes toward classroom incivility and determine whether items would reveal subscales. A sample of 549 adolescents between ages 11 and 18 (53.1% boys; M age = 13.90, SD = 1.41) completed items written to measure attitudes toward classroom incivility. An exploratory factor analysis (EFA) was used on one half of the randomly split sample and a confirmatory factor analysis (CFA) on the remainder. Results from both analyses suggested that two factors representing unintentional and intentional incivility might be the best factor solution. In addition, evidence for concurrent validity was found in correlations with four additional scales. Results suggest that attitudes toward classroom incivility are heterogeneous and that adolescence may be an important developmental period to address this construct. Future studies should continue psychometrically developing this scale and exploring this measure with additional antisocial beliefs and behaviors.
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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 | 0.000 | 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) | 0.001 | 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 it