Acute Awareness of the Self and Interaction: Responsive Embodiment among Dancers and Sociologists
Bibliographic record
Abstract
My experience and observation of the physical manifestations of insecurities as a dancer and sociologist led me to develop questions surrounding kinesthetic intelligence, critical cerebral processing, the concept of a “self,” and feelings of embodiment. I became interested in how these reconcile under structures that promote external validation, alienation, and logical thought. This article describes a research-creation project that I began by choreographing a dance with six conservatory students researching themes of alienation, socialization, and scripted behavior. These dancers were individually interviewed about the creation process as well as their experience of dancing. I also conducted a contact improvisation event and group interview with the six dancers and three sociology students. An analysis of the results revealed that they felt a pervasive sense of monotony and disenchantment occurring with routine behavior and interaction in everyday life. They were able to disrupt this disenchantment by working to generate a sense of their own embodiment. Specifically, this entailed attending to concrete details, personal responsiveness, and acknowledging their own impulses toward and away from others. This allowed them to connect to a “self” and to others. In addition, novel physical interactions helped facilitate an understanding of where attention lies, amplified social connection, and combated alienation and disenchantment.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.034 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| 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".