Learning by imitation in dance: a constructive "resonance"?
Bibliographic record
Abstract
This paper aims to deepen our understanding of the “demonstration-reproduction” pedagogical approach that is traditionally used in dance instruction by examining the interactions between teachers and students in contemporary dance technique classes. The discussion presented here is based on results drawn from a descriptive and comparative study of the instruction of five movement sequences, which were selected from our observations of five dance classes given by five different teachers at two preprofessionnal contemporary dance training institutions in Montreal, Canada. An epistemological and methodological approach known as “Activity Analysis” allowed us to describe and analyze the interactions between dance teachers and students, all while noting the instructor’s own personal preferences, associations, and coupling of activities. As such, we were able to observe a number of different teaching styles, and identify the conditions under which the demonstration-reproduction educational mode was most suitable and constructive. The concept of imitation will be considered here as it pertains to biological factors drawn from the neuroscientific research on mirror neurons, as well as a number of sociological factors as defined from the social constructivist perspective.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| 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 | 0.010 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".