Applications of the Illimitable Space System in the context of media technology and on-stage performance: A collaborative interdisciplinary experience
Bibliographic record
Abstract
Real-time video production technology has to do with adding visual effects at the time of a performance production itself. This work describes research-creation, development and use of a software system, Illimitable Space System (ISS), in interactive artistic performance productions. ISS is a real-time interactive configurable toolbox used to create visual effects and musical visualizations based on input such as voice or gestures with the corresponding image mapping and also with multiple input devices. The production team created and used a subset of the features of the ISSv2 toolbox for an interactive artistic performance. ISS makes it easy to explore rapid prototyping of interactive graphical applications using Jitter/Max and Processing with OpenGL, shaders, and featuring connectivity with various devices. Such a rapid prototyping environment is ideal for entertainment computing, as well as for artists using interactive graphics for real-time performances. We share the expertise we developed in connecting real-time graphics with on-stage performance using the Illimitable Space System (ISS) v2.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".