Re/Visiting
Bibliographic record
Abstract
Abstract This article originally appeared in Dance Research Journal 's special issue on “Dance in the Museum,” following the first installation of Tino Sehgal's This Situation in Montréal in 2013. Three interpreters (and, as such, embodied archivists), from that edition—Toni Pape, Noémie Solomon, and Alanna Thain—explore how choreographic and conspiratorial techniques activated by This Situation rework relations of inside and outside, participant and observer, subject and object through a collective bodily attending to the situation itself. These techniques, adapted from or affiliated with those of performance as the intricate negotiation of bodies, movement, and time in relation, make up the work's ecology of practices. Sehgal's work within the museum holds movements and relations to persistently make and unmake its forms, contents, and relations—as a way of making art contemporary via dance's propensity to always begin again. We term this commitment to rebeginning Sehgal's impersonal ethics.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.385 | 0.179 |
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".