Helen Primrose LeVesconte: Occupational Therapy Clinician, Educator, and Maker of History
Bibliographic record
Abstract
BACKGROUND: The Canadian history of our profession is not well known and our identity is thought to suffer as a result. Helen Primrose LeVesconte (7896-1982) is one pioneer in our development whose story has not been told. PURPOSE: Our purpose is to explore LeVesconte's life and work in order to expand knowledge of our roots and thereby strengthen our identity. METHOD: Using interpretive biography methods we draw on LeVesconte's own writings, articles written about her, and archival documents to describe turning point moments in her life and to display meaningful patterns in her work. RESULTS: LeVesconte's work as a clinician and her role and reputation as an educator, show her to have been a strong and visionary leader. Her views on the client's role, the importance of the therapist-client relationship, prevention, community-based programs, and vocational rehabilitation are of particular interest. PRACTICE IMPLICATIONS: Because LeVesconte educated over 1,850 students while director of the occupational therapy program at the University of Toronto, her influence has been felt throughout the country. Her perspective is compared to current practice; and questions are raised as to aspects of her legacy and philosophy that might now be reconsidered.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 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".