"My Own Way of Moving" - Movement Improvisation in Children's Rehabilitation
Bibliographic record
Abstract
This article investigates the ways that children with different motor disabilities move in an improvisational context. We developed and implemented a one-year long movement improvisation program in which 12 children with different motor disabilities participated in weekly sessions under the practical leadership of two dance teachers and the researchers. The project's theoretical perspective and research approach are based on a phenomenological perspective that emphasizes movement as a personal, relational, and expressive phenomenon. The empirical material was developed and created through close observation and consists of the researchers' kinaesthetically lived experiences, video observations, and logbooks from the weekly movement improvisation sessions. In the article, we present and reflect upon five episodes from one activity regularly performed during the year. The article shows that movement improvisation can, over a period of time, offer children with motor disabilities an opportunity to explore their personal ways of moving together with others. The analysis explores how and why the children gradually felt secure enough to throw themselves into exploring their own movement possibilities and how improvisation promoted their desire to keep on moving.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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 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".