Constraints-led Approach and Emergent Learning: Using Complexity Thinking to Frame Collectives in Creative Dance and Inventing Games as Learning Systems
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
This paper will describe complexity theory as framing an emergent learning process. This process will be connected to a constraint-led approach to skill learning and a non-linear pedagogy perspective in physical education Often traditional and common sense notions of learning are framed as a correspondence process focused on acquiring or accumulating information such as repetition of technical cues in PE to do a skill in an activity. In this paper I will elaborate on a broader conception of learning systems, shifting concepts of learning from correspondence to coherence theories of knowing, where learning is described as an emergent process. By way of examples, this paper will discuss how pedagogical approaches associated with creative dance [2] and inventing games [3]can form complex learning systems that can be understood using complexity thinking.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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