A Framework for Hybrid Multimodal Performances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The boundaries between physical and virtual spaces are becoming more blurred in our everyday lives with the advent of wearable action cameras, virtual reality technologies, and algorithmicallyled audience interactions. Artists and creatives have been at the forefront of exploring these new technologies; however, little literature exists that reflects on best practices for navigating this new complex space. We reflect on our experiences in creating and participating in what we refer to as ‘hybrid multimodal performances’ or performances that blend physical and virtual spaces. We propose a framework of aesthetic choices we have implemented to seamlessly blend physical and virtual entities. We consider aspects such as the interaction between the camera and performer, the integration of multiple conceptual spaces, the changing relation between the artist and the work, and the multiple transformations of shape that occur when transitioning between physical and virtual spaces.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it