Bibliographic record
Abstract
This paper explores the historical and contemporary implications of the metronome’s role in defining pulse and tempo in Western art music. Far from 18th-century conceptions of pulse anchored in the tempo giusto and described with reference to the musician’s literal heartbeat, the 21st-century performer is much more likely to consider the metronome as the source and arbiter of a “correct” pulse. The evolution of the metronome from its earliest mechanical iterations through to contemporary smartphone apps also maps neatly onto the increasing societal trust placed in the metronome as authority. This relocation of the source of pulse from internal (the performer) to external (the metronome) also brings psychological impacts, particularly with reference to music performance anxiety; the expectation of matching digitally precise timekeeping with a fallible human body is a contributor to anxiety and self-doubt among musicians. Using detailed pulse analyses of mid-20th-century electromechanical metronomes as case studies, this paper describes how the idiosyncratic pulse shifting and surging of these devices inadvertently gesture toward a reimagined role for the device. The author concludes by proposing the development of digital metronomes with a switchable “fallibility” mode, which might introduce varying degrees of pulse variability to the metronome, thereby granting musical artists the creative agency to follow or resist the device, much as they would a live musical partner. Such a development is also proposed as a step forward toward understanding constructive approaches to other nascent music practice aids such as increasingly precise tuners or apps which propose to objectively define “quality” tone.
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 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 | 0.003 | 0.005 |
| 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 | 0.028 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".