The Balanced School Day and Teacher-Student Connections: Canadian Classroom Teachers’ Perspectives
Bibliographic record
Abstract
Positive teacher-student relationships can be a critical component for school success (Nasir, Jones, and McLaughlin, 2011; Davis, 2001; Hamre and Pianta, 2006; Reimer, 2020a, 2020b). This (2018) study invited Canadian elementary teachers (n=8) into a focus group and asked them how they successfully connected with students in their classrooms. Participants shared many strategies on how they connected with their students and their families (Reimer, 2020a, 2020b). On one occasion, participants noted that the establishment of consistent routines in the classroom played an essential role in connecting with students. While all teachers independently brought in many types of routines into their classrooms, some shared how the introduction of a school-wide “Balanced School Day” assisted them in finding an optimal ‘rhythm’ (Wilson, 2011) to their day.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 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 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".