Modes of Listening and their Implications to Audience Experience of Orchestral Concerts, with a Case Study of the Toronto Symphony Orchestra
Bibliographic record
Abstract
Although listeners adopt similar behaviours according to sociocultural norms in the concert hall, they do not all experience an orchestral performance in the same way. Stockfelts theory of Adequate Modes of Listening provides the framework necessary to examine contemporary listening practices in the modern orchestral context, and provides an alternative to the dominant marketing paradigm. Using a representative case study of the Toronto Symphony Orchestra, the current research performs interviews, document survey and analysis, and concert observation to answer questions such as; do facilitators, orchestra, and audience members agree on a single (or related group) of genre-normative modes of listening? What happens when there is a breakdown in the assumed sociocultural conventions? How can the orchestra facilitate its listeners? By examining the way in which a listener experiences orchestral music, we can strengthen our understanding of contemporary listening practices and develop nuanced approaches to promoting sustainable audiences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".