Bibliographic record
Abstract
This practice-based research focuses on the film Ínsula (Insular in English) to explore ways of conducting, intertwining, and assembling performing bodies with audio-visual performance, through the creation of original dispositifs. It expands relations between different types of performance with cinematographic methodology and unique approaches to editing, to suggest a new term, “cine-performance,” centered on the action and modification of the performing body by the cinematographic apparatus. Performance is an embodied intervention in the world, an instrument for assembling / disassembling territories and languages, a visual and sound composition of the cinematic apparatus. Cine-performance is an expressive potential of the multiple compositions between bodily and audio-visual performance. Through it, live performance is embodied in image through audio-visual capture and the camera eye’s and the editing process’s reconfiguration of the human body. Performances can be reassembled on a single screen, or through multiple arrangements on a variety of screens. I therefore propose the construction of cinematic montage in spatial and temporal layers, which combines poetic potentialities between bodily and audio-visual performances. Cine-performance uses the language of cinema to expose and investigate the relationship between performance and its specific context (site, environment, historicity) in order to materialize in sound and image the most ephemeral and immaterial aspects of any action involving the body. And this relationship depends on a performing body that assembles and conceives of a cinematic enunciation within the performance itself, which activates and calls upon cinematic genres to transduce performance into an audio-visual work.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.371 | 0.111 |
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".