From Forests to Formulas: Contextual Examination of Composers’ Sources, Materials, and Practices Involving Creative Insight
Bibliographic record
Abstract
This thesis reports the findings of an exploratory, mixed-methods study of the information phenomena associated with musical composition. It employs a semi-structured interview and a survey among participants of the current musical composition community, the majority of which resided in the greater Toronto area. The guiding question is “What are the information activities and resources of composers as they strive to compose new music?” During research, the concept of creative insight, emerged as a necessary supplement to previous inquiries into composers' inspiration. The findings explore the varied sources of creative insight utilized by composers; differing uses of creative insight, Creative Insight Storage Units (CISUs), composers' record keeping devices; creative insight in embodied form; and the varying information needs of composers at different stages in their profession. The report closes with the introduction of a new model of creative information phenomena in musical composition, and questions for future research.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".