“Dream Away the Time”. Metric Play in Benjamin Britten’s <i>A Midsummer Night’s Dream</i>
Bibliographic record
Abstract
This article examines how meter serves as a key compositional device in Benjamin Britten’s A Midsummer Night’s Dream (1960), employed in strikingly idiosyncratic ways. Borrowing Leccia’s (2024) notion of “play” as an analytical metaphor, I explore Britten’s diverse metric types and techniques through representative excerpts. Drawing on the metric theories of Lerdahl and Jackendoff (1983) and Rothstein (1989), alongside key Britten scholarship by Rupprecht (2001), I adapt multiple analytical approaches to account for the opera’s stylistic mélange . Four main findings emerge. First, each of the three character groups (fairies, lovers, and rustics) possesses a distinct musical characterisation, including through meter. Second, Britten employs a variety of meters and hypermeters, often integrating irregular rhythms within the larger structure. Third, he manipulates meter and hypermeter to establish models before deviating, typically for narrative effect. Finally, hypermeter interacts with grouping to generate tonal phrases and static atonal hypermetric units.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".