Dona-Arbre [Mujer-Árbol] de Fina Miralles: Recolectando conocimiento corporal.
Bibliographic record
Abstract
En este artículo sostengo que Dona-Arbre [Mujer-Árbol] de Fina Miralles, de la serie Traslacions, es parte de una secuencia de ejercicios y prácticas experimentadas durante las acciones realizadas en las que el cuerpo se percibe y experimenta cada vez más. Todas estas acciones son ejercicios para buscar el cuerpo en conexion con su entorno y con ella misma. Esta acción precede un trabajo que más adelante se centra en el cuerpo y que puede leerse como más abiertamente feminista. Mi argumento es que con Dona-Arbre comienza un método exploratorio del cuerpo y del entorno, y que este método es valioso para un feminismo basado en un autoconocimiento somático. Partiendo de metodologías encarnadas, investigación-creación y empatía kinestésica, utilizo teorías feministas encarnadas y de agencia, y tomo el concepto de kinestesia de Carrie Noland para describir las estrategias específicas en Dona-Arbre tales como el cuerpo inmóvil, kinestesia y micro-movimientos. Los interpreto como resistencias sutiles e instrumentos fundamentales para construir agencia corporal en el contexto de las restricciones políticas del cuerpo durante la dictadura franquista. In this article I claim that Dona-Arbre [Woman-Tree] by Fina Miralles from the series Traslacions, is part from a sequence of exercises and practices experienced during her performance work in which the body is increasingly perceived and experienced. All them are exercises in a search for the body in connection with its environment and with herself. It precedes her later focus on the body where there is a more overtly feminist political intervention. I argue that an exploratory method of the environment and the body starts with Dona-Arbre, and that this method is valuable to a feminist politics that begins from a somatic self-knowledge. Based on embodied methodologies, research-creation and kinestheticempathy, I engage with feminist theories of embodiment and agency, and take on Carrie Noland’s concept of kinesthesia to elaborate on the specific strategies in Dona-Arbre such as the still body, kinesthesia and micro-movements. I read them as a subtle resistance and pivotal instruments for building corporeal agency in the context of the acute restrictions on body politics during the Franco dictatorship.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 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".