Bibliographic record
Abstract
By looking at corporeal agency, kinesthesia, and embodiment from a feminist perspective, this dissertation investigates the corporeal emancipatory strategies employed by the Catalonian artist Fina Miralles. It focuses specifically on her series of works from 1972-76, including Sensitiveland, Natura Morta, Fenòmens Atmosfèrics, Translacions, Relacions and Petjades. It argues that producing corporeal sensorial knowledge generated from her experience and movement is a transgressive and emancipatory act (even if only temporarily) in the context of the acute restrictions on body politics during the Franco dictatorship (1935-1975). This dissertation argues that Fina Miralles’ performances explore new corporeal experiences and existences in order to inhabit bodies in new and possibly empowering ways. Her artwork helps to cause a momentary rupture in the chauvinist socialization of the Francoist system that reinforced women’s disembodiment, or their inhabiting objectified bodies. The dissertation then turns to the expressive capacity of the body and its possibilities as a rich source of knowledge (within the body and in the body’s relation with the world) in feminist liberatory processes. Drawing from my research experience developed in and through the fieldwork and archival stages, the dissertation proposes ways of “doing” research based on “embodied methodologies” (Spatz, 2017), “research-creation” (Chapman and Sawchuck, 2012), “practice as research” (Barrett, 2014), “kinesthetic empathy” (Sklar, 1994; Reynolds & Reason, 2012), and proceeding from a situated feminist approach (Haraway, 1988).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".