From Education to Occupation: The Story of Thomas Bessell Kidner
Bibliographic record
Abstract
BACKGROUND: Thomas Bessell Kidner is well-known in the United States as a great contributor to occupational therapy. He is not well-known in Canada despite the fact that his first contributions to the profession were made here between 1900 and 1918. PURPOSE: To tell the story of Thomas Bessell Kidner and his impact on occupational therapy. METHODS: Interpretive biography research methods using archival materials, published papers and family papers. RESULTS: Kidner's work as an organizer of manual training in elementary schools in Nova Scotia and New Brunswick and as Director of Technical Education for Calgary prepared him for his work as Vocational Secretary of the Military Hospitals Commission during World War I. Kidner developed, implemented and oversaw the reeducation program for injured soldiers across Canada. It included bedside occupations, off-ward and curative workshop activities provided by ward aides, as well as industrial training and apprenticeships in the workplace. PRACTICE IMPLICATIONS: Kidner's story stimulates us to revisit our profession's early emphasis on return-to-work. Knowing about our past helps occupational therapists to build a stronger identity.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".