Interpassivity and Presence: Some Reflections on the Concept of <i>Autoteatro</i>
Bibliographic record
Abstract
As an exercise in immersive theatre, autoteatro, as developed by Ant Hampton (in collaboration with Silvia Mercuriali and Tim Etchells), is a type of theatre that relies on the participation of the spectator in dialogue with scripted materials. The concept also serves as a way of reconsidering the excesses of a ubiquitous interactive theatre that aims to blur the distinction between presence and absence, inside and outside, reality and imagination, art and the everyday. This “experience machine” puts all its gears in motion to create an automated and interpassive mechanism that transforms the body of the spectator into a sensorial and haptic space, a space of listening in which a kind of “delegated” pleasure allows for experience to be, in a sense, externalized, given over to an outside agency.
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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.083 |
| Scholarly communication | 0.019 | 0.022 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.007 | 0.019 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".