“That new breed of medical aide, the physiotherapist, was slightly suspect. At least they can’t do any harm was a prevalent attitude”: Early Attempts to Establish Physiotherapy Training in British Columbia (1920s–1960s)
Bibliographic record
Abstract
In exploring the early path to the professionalization of physiotherapy in the province of British Columbia from the 1920s to 1960s, the authors aim to shed light on the shaping of professional health care regulations at a formative moment in Canadian history. The return of Canadian veterans suffering from devastating war injuries following the Second World War, in addition to serious civilian outbreaks of poliomyelitis, precipitated demands for clinical treatment and rehabilitation in physiotherapy, massage, and physical medicine. Not only was there a dearth of qualified physiotherapists to address this demand, but few mechanisms were available to train them as well. The merging campaigns of medical personalities and the persistent efforts of leaders of voluntary organizations spurred the enterprise of rehabilitation and the demand to promote and regulate physical therapy training within the province and its universities. Such beginning steps toward self-regulation and direct access to patients were crucial to the development of the profession in Canada, but it took until 1961, as well as a Royal Commission on Health Services and the efforts of voluntary organizations, to secure training programs for physiotherapists, demonstrating the important role of community organization and public-mindedness in the development and regulation of physiotherapy education in British Columbia.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.033 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".