The Embodied Journey of an Idea: An Exploration of Movement Creativity in Circus Arts
Bibliographic record
Abstract
ABSTRACT Knowledge about embodied creativity is in its infancy. In circus arts, performers are nowadays ‘owning’ their creativity making this performance domain fruitful to study embodied creativity. Building on socio‐cultural creativity perspectives and radical embodied cognitive sciences, the current study aimed at exploring movement creativity by tracking the journey of embodied ideas in a Circus School. Specifically, this research questioned how the interactions between actors, audiences, affordances, and actions support the emergence and evolution of movement ideas. A narrative ethnographic research design, gathering process observations in situ , was used to scrutinize the movement ideas generated by student‐artists, teachers, and artistic advisors over a 4‐month period. Reflexive thematic analysis led to the design of an exhaustive mapping which illustrates the key findings. Namely, the journey of an embodied idea is influenced by stimulating spaces and collaborative socio‐cultural environment which ignite the actors' desire to create. This desire, in turn, unfolds into multiple ideational pathways paved with research strategies (e.g., improvisation, constraints, variability) and emotions (i.e., pleasant and unpleasant). Embodied ideas then go through an assessment process leading (or not) to its growth. Results are discussed in light of embodied, pedagogical, and emotional considerations offering an alternative to the conceptualization of idea.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".