Bibliographic record
Abstract
Toronto-born Saida Gerrard was one of the first artists to import modern dance to Canada following study in the United States. Her early training included character dancing and Dalcroze eurhythmics in Toronto, and in 1931 she moved to New York City to train at the newly opened Mary Wigman School, where she studied with Hanya Holm and Fe Alf. She later continued her training at the Martha Graham School and danced with Charles Weidman through the Federal Theater Project. Gerrard eventually settled in California where she continued to teach, choreograph, and perform. From 1932 to 1936 Gerrard returned to Toronto for personal reasons and opened The Studio of Modern Dance, teaching adaptations of exercises in absolute dance (Ausdruckstanz) learned at the Wigman School. Her influence is seen through to the professionalization of modern dance in Toronto in the 1960s. Gerrard’s professional career blossomed during her return to Toronto. She performed her own work before crowds as large as 8,000 with the Toronto Symphony Orchestra, exposing many to modern dance for the first time. Her article/manifesto "The Dance" explains the artistic and philosophical impetus behind the developing art form. She eventually returned to New York where there was an infrastructure to support a professional dance career, which was not available in Canada at the time.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".