Bibliographic record
Abstract
In 2011 the French artists Marion Laval-Jeantet and Benoît Mangin, who since 1991 have worked together as the art collaborative Art Orienté Objet, created a performance titled Que le cheval vive en moi (May the Horse Live in Me). In the piece, which took several months to complete, Laval-Jeantet received a series of transfusions of blood plasma drawn from the body of a horse. This essay considers the intensively physical dimensions of Art Orienté Objet's transpecies performance by reading it in relation to the concept of affective athleticism as it is developed in Gilles Deleuze's writing on art and sensation. It explores athleticism as a nexus for the performance's engagements with wider questions of animal-human (and particularly equine) interaction: gender, sexuality, and desire; biomedical science and hormone supplementation; and the aesthetic and political interventions of both “bioart” and body-based performance art. I suggest that this performance allows us to consider athleticism as a “sensational” and intensive mode of embodiment, capable of producing unanticipated forms of intimacy and affiliation beyond the precincts of the human.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".