Suspending the Habit Body through Immersive Resonance:Hesitation and Constitutive Duet in Jen Reimer and Max Stein’s Site-Specific Improvisation
Bibliographic record
Abstract
There is increasing appreciation for the role that location plays in the experience of a musical event. This paper seeks to understand this role in terms of our habitual relationships to place, asking whether and how being musical somewhere can expand and transform our habituated comportment there, and with what consequences. This inquiry is anchored in a series of site-specific improvised performances by Jen Reimer and Max Stein, and the theory and practice of the late experimental music pioneer Pauline Oliveros. The argument made interpreting these performances is grounded in Maurice Merleau-Ponty’s phenomenology of embodiment, and Alia Al-Saji’s reception of it. This paper claims that such site-specific improvised performances can elicit a sort of hesitation in our everyday style of sensory-motor conditioning, and, concomitantly, awaken a layer of sensory living amenable to radically new sonic and behavioural configurations.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.029 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".