Continuidad y reinscripción: Derivas de los vivientes en las performances Los caballos no mienten de Eduardo Navarro y Que le cheval vive en moi de Marion Laval-Jeantet
Bibliographic record
Abstract
Este articulo reflexiona sobre las performances Los caballos no mienten de Eduardo Navarro y Que le cheval vive en moi de Marion Laval-Jeantet como intervenciones artisticas que cuestionan los limites de la ontologia de los cuerpos humano y animal. Este analisis propone que ambos artistas establecen una relacion con el caballo que subvierte la separacion entre el humano y el animal para desplegar un espacio de indeterminacion de lo viviente. Despues de considerar cada performance por separado, realizo un trabajo comparativo sobre la posibilidad de estas performances de ofrecer epistemologias positivas para pensar en las lineas de continuidad entre una y otra forma de vida. En un segundo momento, reflexiono sobre los limites de esas intervenciones en tanto objetos artisticos para concluir con una reflexion acerca de la potencia biopolitica de estas obras.
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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 | 0.003 | 0.006 |
| 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 | 0.020 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".