A Great Oak in the Forest of Rehabilitation Has Fallen
Bibliographic record
Abstract
Imagine for a minute the physiotherapy profession bereft of leaders.Inevitably, our knowledge base would become stagnant, our professional advancement would halt, society's respect for our work would fade, and, ultimately, our profession would cease to exist.No one could argue, then, that leadership is not critical to physical therapy.But who are our leaders?People who assume positions of authority are often regarded as leaders, but managers, supervisors, and even practice ''leaders'' are not leaders by virtue of their rank, title, or position; that must be earned.Leadership is a democratic construct; people at all levels of our profession, from students to senior clinicians and academicians, can be, and are, leaders.One clear example of a consummate leader in our profession is Dr. Jacquelin Perry.Jacquelin, the only child of a clothing shop clerk and travelling salesman, was born on May 31, 1918, in Denver, Colorado, and died, at nearly 95 years of age, on March 11, 2013, in Los Angeles, California.After receiving a bachelor's degree in physical education from UCLA in 1940, she trained to become a physical therapist at the Walter Reed Army Hospital in Washington, DC.From 1941 through 1946 she served as a physical therapist in the US Army, treating patients with polio in Hot Springs, Arkansas.Although this period was particularly formative in terms of her life's work, Jacquelin yearned for more professional independence-to be in a position ''to make my own decisions.'' 1So she pursued medical train-
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.008 | 0.020 |
| Insufficient payload (model declined to judge) | 0.096 | 0.027 |
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".