16th Biennial Symposium on Arts & Technology Proceedings
Bibliographic record
Abstract
Walking Wounded is a living lab & multi-media performance transforming trauma through real-time drawing and sound generated from performers' nervous system and unique gesture vocabulary.It gives expression to unspeakable personal and collective experiences of trauma through movement, sound and imagery, and transforms the unbearable pain and toxic shame lodged in the body through somatic release using bio-adaptive play.The project seeks to restore interpersonal connection nonverbally in a safe environment, foster resilient communities and bring movement into movement building through a four-part co-design process, culminating in a local performance.Working with dancers and non-dancers who have experienced different forms of trauma, we use multi-modal movement workshops to generate the raw material for a non-linear, constantly evolving narrative, along with sonic vibration to realign damaged attunement systems amplified through sub-woofers and set to Solfeggio frequencies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.318 | 0.110 |
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".