Holistic pedagogy in practice: The curriculum and ideology of embodied self-discovery in Franziska Boas’s dance classes, 1933–1965
Bibliographic record
Abstract
Drawing principally from archival material, published primary source documentation and oral history interviews, this article outlines how Franziska Boas, a dance teacher in the United States whose career spanned 1933 to 1965, implemented holistic ideas about dancer training before somatic philosophies were widely accepted in dance. A student of Bird Larson and Hanya Holm, Boas taught ‘creative dance’, an approach to movement intended to assist each student in developing her or his own kinetic creativity. To achieve this goal, Boas believed that students first needed to understand human anatomy and movement fundamentals. She was committed to the idea that structured improvisations were the best way to teach technique. She valued individuality more than the achievement of technical feats and the emulation of a set movement syllabus. Boas is positioned here as interesting case study who, because of her pedagogical practices, illuminate our understanding of how dance and somatics developed in tandem in a variety of environments within an American liberal arts education system, including at the Boas School of Dance, her privately owned studio in New York; and the formal educational setting she encountered as a professor in the Dance and Physical Education Department at Shorter College in the southern town of Rome, Georgia
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.039 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".