Social commentary through the transdisciplinary practice of audio-visual performance
Bibliographic record
Abstract
Performance is a medium through which alternate perspectives can occupy alternate spaces. Where the rendered media of advertisements, reportage and documentary appeal primarily to the intellect of the viewer, the ephemeral nature of performance tends to first engage the emotions and senses of an audience. By practicing across film, graphic design and data-visualization, audio-visual performers can document themes of social relevance and it could be said that through such transdisciplinary practice, a form of ‘documentary performance’ emerges. This premise has led me to harness audio-visuals toward championing social topics. Thematically, my current performances question whether industrial fishing methods are sustainable. Performing to varied audiences in varied contexts has given me insight into the impact that a documentary style of performance can have. This paper documents my process toward realizing such a performance paradigm - a transdisciplinary practice fusing film, science, technology and art. ©Journal of Professional Communication, all rights reserved.
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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 | 0.017 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.031 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".