Bibliographic record
Abstract
Contemporary theoretical musicology, and especially its anglophone section, has been heavily influenced by the ideas and analytical methods of Heinrich Schenker (1868-1935) who was an Austrian. Schenkerian-inspired theory, once imported in the United States from Austria, spread widely on American soil, where it was “enriched” conceptually, and was then re-exported to Canada, Great Britain, Australia, and other English speaking countries. The old American school of harmony that stemmed from the best German, French, and Russian traditions, found itself pushed to the wall by the ever growing Schenkerian school of thought which was erecting a cult of his creator. A “new order” in harmony and analysis was gradually established that regarded tonality as a business between tonic and dominant alone, the rest of the chords being of peripheral importance. This mentality shut the door to diversity and freedom in functional thinking, and opened the door to highly biased harmonic and formal analyses which erased harmonic cadences, presented tonality in black and white, breached syntactical units to create a new way of hearing music (the so-called "distance hearing" or "structural hearing”), and inevitably ended up with the same fundamental structure in melody and harmony, named “Ursatz”. This essay discusses major defects of Schenkerian theory and their negative impact on traditional harmony and analysis.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.071 |
| Scholarly communication | 0.010 | 0.020 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".