Introducing the Leadership in Enabling Occupation (LEO) Model
Bibliographic record
Abstract
BACKGROUND: Occupational therapy is a broad profession yet access to services remains restricted and uneven across Canada. Access to the potential breadth of occupational therapy is severely restrained by complex supply, retention, and funding challenges. To improve access to occupational therapy, widespread leadership is needed by all practitioners. PURPOSE: This brief report introduces the Leadership in Enabling Occupation (LEO) Model, which displays the inter-relationship of four elements of everyday leadership as described in "Positioning Occupational Therapy for Leadership," Section IV, of Enabling Occupation II: Advancing a Vision of Health, Well-being and Justice through Occupation (Townsend & Polatajko, 2007). KEY ISSUES: All occupational therapists have the power to develop leadership capacity within and beyond designated leadership positions. IMPLICATIONS: LEO is a leadership tool to extend all occupational therapists' strategic use of scholarship, new accountability approaches, existing and new funding, and workforce planning to improve access to occupational therapy.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".