Group dynamics and the small choir: An application of select models from behavioural and social psychology
Bibliographic record
Abstract
In the literature written for choral directors, there seems to be a common approach taken by many writers regarding the qualities and skills which determine a conductor's effectiveness.Books centre on a gestural approach to musical direction, emphasising physical learning as well as score preparation and other individual skills.The belief that "superior musicianship is the prime quality of a conductor" (Demaree and Moses 1995, pA) is commonly held, and indeed is a driving influence for the behaviour of many choral directors.In combining this view with a narrowly defined gestural approach to conducting, choral directors and educators deny (or ignore) the fact that choirs are in fact complex groups of individuals.It is my assertion that any approach which fails to seriously consider group aspects of choral music making is incomplete and is unlikely to re~mlt in long-term success for the ensemble.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".