Musical Introspection and the Affective <i>Group-en-Fusion</i>: Existential Reckoning with the Political and Climate Crises
Bibliographic record
Abstract
ABSTRACT Music is a vital means of engaging with affect, one that many of us are relying upon to process the unthinkable political realities that confront us. However, insofar as we are doing this serially—for instance, listening alone to pre-recorded music on demand—we are missing out on a critical potential of such affective musical engagement. Jean-Paul Sartre identified seriality as a social formation marked by alterity, one that prevents mutual awareness of similar situatedness. However, whereas Sartre argued that broadcast radio possesses a serial structure, this article argues that it can engender an incipient form of collective, which Sartre calls the group-en-fusion. This argument is made through the example of The Stillness and the Dancing, Joel Cuthbert’s campus and community radio program that plays ambient, experimental, and contemporary classical music on CFRU Radio Gryphon in Guelph, Ontario.
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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 | 0.004 | 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 | 0.008 | 0.059 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".