Bibliographic record
Abstract
This article asks questions about scale and the writing of musical theatre. Do considerations of being “produce-able” (particularly in the current Canadian theatre ecosystem) affect how writers approach their work? Often, making a new work “produce-able” involves removing any extraneous elements that would create additional costs. This has resulted in a litany of Canadian plays that have small casts, unit sets, and contemporary (read: inexpensive) costumes. Yet, when one considers the issue of produce-ability within the context of musical theatre, there are many more things to consider, including a number of musicians, variety and quantity of singing voices, scope of orchestration, and variety of instrumentation. Writer-Composer Rob Kempson asks a selection of other Canadian musical theatre writers for their thoughts on these questions, and discovers that there is a divide around how the issues of scale and “produce-ability” influences their work. Composers interviewed include Jay Turvey & Paul Sportelli, Jim Betts, Brian Hill & Neil Bartram, Wesley J. Colford, and Scott Christian.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".