Bibliographic record
Abstract
Émile Jaques-Dalcroze was a Swiss musician and music educator who developed a method of music education that combines movement and ear training with physical, vocal, and instrumental improvisation. He is often called Dalcroze, the pseudonym he added to his family name Jaques (spelled without a ‘c’) as a young man. In English his method is known as Dalcroze eurhythmics. In the early 1900s he devised activities of rhythmic stepping, breathing, conducting, and gesturing to help people experience musical concepts and feelings in the body. A charismatic teacher and pianist, Dalcroze presented demonstrations of his experimental pedagogy throughout Europe, and from 1910 to 1914 he taught several hundred professional students from various countries at the Bildungsanstalt Jaques-Dalcroze, the purpose-built training institute he directed in Hellerau, near Dresden. In 1915 he established the Institut Jaques-Dalcroze in Geneva, the city where most of his sixty-year career unfolded. In addition to inspiring many who became teachers and artists, he composed and wrote prolifically. He published a large musical oeuvre, teaching manuals, articles, reviews, and several books of essays and memoirs. His influence extended beyond music into dance, theatre, therapy, and education. The Dalcroze method, handed down and enriched by generations of teaching musicians, continues to explore core practices of this heritage today. Geneva serves as centre for the most advanced qualification, while training programs are offered in Europe, North America, Australia, and Asia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".