Bibliographic record
Abstract
This chapter explores Canadian composer Jocelyn Morlock’s Involuntary Love Songs (2008). Morlock’s lively, distinctive voice and clear vision are immediately evident in this trio of satisfying, ear-catching songs, written in an accessible style that recalls elements of an earlier North American ‘art-song’ tradition. The cycle will be an asset to any recital programme. The vibrantly evocative poems by Alan Ashton are ideal musical vehicles, and Morlock responds to them with spontaneity and empathy, mirroring their emotional surges and bracing contrasts. An enviably uncluttered musical language often has modal overtones, and she favours spare, lean textures, with frequent open fifths and fourths anchored to a stable, tonic base. Words are set so as to ring out clearly and vocal lines stay within a practical range, following the contours of natural speech. The piece was originally written for soprano, but, in keeping with a current trend, exists in different transposed versions, each also open to adaptation for individual performers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.010 |
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".