Bibliographic record
Abstract
This article examines the contributions of pre-Rameauvian French writers in theorizing the early major-minor system, starting with an important document of early major-minor theory: the Méthode claire, certaine et facile pour apprendre à chanter la musique (1683, 6/1707) by the singing master and viol player Jean Rousseau (1644–1699). Rousseau’s Méthode claire was the first continental treatise to entirely replace eight- and twelve-tonality systems with their major-minor successor. Not only do its pedagogical precepts for solmization open a fascinating window onto early major-minor theory, but the theoretical reorientation it proposes reverberated through subsequent French treatises: in the innovative ways in which French writers strove to theorize growing tonal resources, in their privileging of certain scale types, in the orderings they imposed on the major-minor tonalities, and in their attempts to systematize key signatures. The article thus illuminates the pioneering efforts of a generation of theorists that includes Denis Delair, François Campion, and Monsieur de Saint-Lambert to adapt received notions of tonal space to a new, major-minor context.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".