Fiddle Music and the Constitution of Musical Affect on (and away from) the Gaspé Coast: Interpreting Musical Affordance, Motion, and Emotion through Turino's Peircian Framework
Bibliographic record
Abstract
Combining ethnography with theories of musical “affordance” (DeNora 2004), semiotic affectivity (Turino 1999), and phenomenological senses of place (Casey 1996), this paper explores how the joint sonic structures of a local Gaspesian fiddle style and certain mass-mediated fiddle styles have fused into a deeply affective cultural resource for many of the older English-speaking residents of Douglastown, Quebec despite ongoing demographic decline and outmigration. I suggest that experiences of musical affect and focused modes of listener engagement are rooted in the affordance of the sounds themselves, which have engendered patterns of cultural “work” (DeNora 1999) that have imbued these sounds with a profound indexicality (Turino 1999; 2008; 2014).
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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 | 0.001 | 0.001 |
| 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 | 0.019 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".