Somatic/embodiment/technology as an evolutive strategy: The ontological shift of the performative body in contact with technologies
Bibliographic record
Abstract
Abstract This article examines the new and multiple relationships of the senses and related perceptual and cognitive processes that characterize contemporary performance integrating new technologies. Focusing on the corresponding effects on embodiment, corporeality and performativity, it considers the sensori-perceptual ‘re-creation’, reorganization, deconstruction and reconstruction involved when the body interacts with, is ‘touched’ by, and ‘incorporates’ the effects of technology. While taking into consideration a current context of research-creation and its conceptual prerogatives, the article centres on the question of technological intervention from the perspective of its encounter(s) with the sensate, somatic body. Based on the premise of the body as a living perceptual entity, adaptive biological phenomenon and indeed, technology in its own right, the author redefines a contemporary status of the body while analysing the artistic strategies employed to inscribe the mediated body and its manifestations within a contemporary artistic production. The article concludes by suggesting that the phenomenological mediation of the performative body is an evolutive form of the sensate, somatic body that could have the potential to bring about the emergence of another form of embodiment and intercorporeality, or even, another form of dance specific to the twenty-first century. Possibly an alternative to the concept of the post-human.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.050 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".