Bibliographic record
Abstract
Judy Jarvis, a choreographer, dancer, and teacher, was a significant figure within the Canadian modern dance community. Following early dance studies in Toronto, she spent two years at the Mary Wigman School in Berlin, and considered Wigman her mentor. On her return to Canada, she launched a solo career, and soon opened a Toronto studio, starting a school as well as the Judy Jarvis Dance and Theatre Company. From 1967 to 1983, she worked with numerous dancers, creating and touring across Canada and to the Edinburgh Festival. In 1974, Jarvis was the first modern-dance winner of the prestigious Jean A. Chalmers Award for Choreography. Her significant works include Bird (1967, later renamed Flight), Clouds (1972), and People…People (1974). Jarvis’s work became increasingly theatrical and difficult to categorize, contributing to the Company’s 1983 loss of funding. Jarvis disbanded her company in 1983, and spent her final years teaching dramatic arts at Madonna High School. She is remembered through the legacy of her influential teaching; through remounts, including Bird/Flight, which was performed by Denise Fujiwara in 1986, and by Gina Lori Riley Dance Enterprise in 1989 of Clouds, People…People, Three Women, and other works; and repertoire performed by the Danny Grossman Dance Company. The Judy Jarvis Foundation, established in 1988, protects Jarvis’s work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.009 |
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".