‘After All the Years of Separation’: Musically Representing Author L.M. Montgomery’s Suspended Romances
Bibliographic record
Abstract
Canadian author L.M. Montgomery did not set out to write stories about romance. As she indicated in her journals, she wrote character-driven stories of young girls navigating their way through girlhood. However, she understood that the public, and her publishers, expected these girls to experience romance that culminated in marriage, following the societal traditions of the time. Montgomery managed this dichotomy by having many characters experience a suspended romance, delaying the romantic aspect of the relationship for as long as possible. Arts-based practice is a mode of analysis and offers the opportunity to find a new way of understanding and communicating Montgomery’s type of suspended romance. Music is, in many ways, considered romantic, so it is an appropriate medium to communicate Montgomery’s romantic narrative structures. This paper investigates Montgomery’s use of suspended romance in her novels and how this delay provided her characters with time to develop other areas of their lives. An arts-based methodology was used to identify and analyse recurring themes in Montgomery’s work, as the question is not can Montgomery’s theme of romance be musically represented but how. The result of this creative experimentation is a new musical composition that articulates these suspended romances using six different musical devices. This creative work exemplifies the intertextual link that exists between Montgomery’s work and new musical compositions.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.019 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".