6. Moving (Literally) to Engage Students: Putting the (Physically) Active in Active Learning
Bibliographic record
Abstract
This paper explores a variety of practices and classroom activities that engage the whole student. Grounded in a somatic perspective (from “soma” meaning the body in its wholeness – the integration of thinking, feeling, and acting), the discussion shows how students can be brought fully into learning through movement, music, and interaction. Examples include: “The Leaders Body: Moving to the Next Level,” which incorporates postures, moving to selected music clips, and working in small groups to learn about five dispositions of the body (determination, openness, flexibility, stability, and centre); “Finding Flow,” which includes an experiential process in groups of five that brings alive the spectrum from boredom to optimal experience to anxiety; and “Building a Humour Body,” which is based on both Reich’s (1960) notions about armoring and the chakra system.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".