Pupils’ Misbehaviors and the Reactions and Causal Attributions of Physical Education Student Teachers: A Sequential Analysis
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 sequential analysis of self-observations was used to study the reactions of Physical Education student teachers ( N = 154) toward elementary school pupils’ misbehaviors. Reactions were categorized as direct or indirect indicating whether or not they represent a direct appeal to the student teacher’s authority status. Causal attributions of misbehaviors made by student teachers as well as their level of intensity were noted. In general, student teachers resorted to direct reactions and attributed the cause of the misbehavior to personal characteristics of the pupil. Their reactions and attributions differed, however, as a function of the level of the misbehavior’s intensity. In response to misbehaviors of high intensity, student teachers were more likely to resort to a combination of direct and indirect reactions and even more to systematically attribute the cause of these misbehaviors to the pupil. This pattern of results suggests that direct and indirect reactions have complementary functions in the management of high intensity misbehaviors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it