Leadership in Physical Therapy: Characteristics of Academics and Managers: A Brief Report
Bibliographic record
Abstract
PURPOSE: To explore the characteristics of physical therapy leaders in academic and managerial roles. METHODS: This quantitative, cross-sectional study used an online questionnaire administered via email to Canadian physical therapists recruited through the Canadian Physiotherapy Association and via additional emails targeted to academic and health care institutions. Individuals who met the inclusion criteria after completion of the questionnaire were asked to complete the Clifton StrengthsFinder, which was used to objectively assess the extent to which participants exhibited personality characteristics. We calculated frequencies for demographic characteristics and the 10 most prominent characteristics for participants in academic and managerial roles. RESULTS: A total of 88 participants completed the questionnaire (52 managers, 36 academics). The most prevalent strengths among both academics and managers were the learner and achiever characteristics. CONCLUSIONS: Academics and managers in physical therapy share similar core characteristics, with slight variations in secondary characteristics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".