Focusing on Teacher-Student Interactions Eliminates the Negative Impact of Students' Disruptive Behavior on Teacher Perceptions.
Bibliographic record
Abstract
This study tests the impact of a randomly assigned professional development coaching intervention (MyTeachingPartner-Secondary; MTP-S) on teacher projections of their students’ educational attainment. Results indicate that students who report more behavior problems in the Fall of the academic year are projected by teachers to have lower future educational attainment in the Spring of the academic year. However, analyses further indicate that participation in the MTP-S intervention moderates the association between Fall student behavior problems and teachers’ Spring projections for student attainment, such that this link is not significant for students in classrooms where the teacher is participating in MTP-S. In fact, results indicate that teachers who participate in the intervention project better educational attainment for their students than teachers who are in a business-as-usual control condition, regardless of their students’ behavior. Findings are discussed in terms of the role that interventions ta...
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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 | 0.000 | 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) | 0.002 | 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 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".