Welcome to <i>This Situation</i>: Tino Sehgal's Impersonal Ethics
Bibliographic record
Abstract
What of dance is welcomed in the museum, and what remains on the outside? Artist Tino Seghal's “constructed situations” redirect this question, reworking relations of inside and outside, participant and observer, subject and object through a collective bodily attending to the situation itself. This article explores the conspiratorial techniques activated by This Situation (2007) to consider how dance moves in and with the museum. These techniques, which are derived from or affiliated with those of performance (the intricate negotiation of bodies, movement, and time in relation), include repetition, remixing, distributed movement, conspiratorial breathing, the compliment, disjunctions between words and gestures, and more as part of the work's ecology of practices. As interpreters of the piece in Montréal (and, as such, embodied archivists), the three authors take up key issues such as tensions between ephemerality and preservation, dance's anarchival propensity, and the contagious corporeal techniques of the piece that pass between interpreters and visitors, human and object materialities, and which traverse heterochronicities of the event and its resonances. We propose that what is specific to Sehgal's work within the museum is a holding of movements and relations as a way of persistently making and unmaking its forms, contents, and relations—as a way of making art contemporary, so to speak, via dance's propensity to always begin again. This commitment to re-beginning is what we term Sehgal's impersonal ethics: how This Situation (re)activates and relies on the generation of intensive but ambiguous embodiments.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.062 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| 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".