Applying critical leadership to advance 2SLGBTQIA+ health equity: A complex adaptive systems approach
Bibliographic record
Abstract
Health inequities are increasing in Canada and across the globe. They pose a substantial threat to the health and well-being of millions of people. Organizational leadership, if it is to effectively contribute to tackling these inequities, must become more systematically infused with competencies that address power and the structural determinants of health. Health equity contexts for 2SLGBTQIA+ (Two Spirit, Lesbian, Gay, Bisexual, Trans, Queer, Intersex, Asexual, and Plus) remain a neglected area of focus in organizational leadership. The goals of this article are to provide: (1) a concise description of critical perspectives and critical leadership studies, (2) describe the urgency of theoretical and applied leadership approaches that more fulsomely integrate critical perspectives, and (3) illustrate an integration of a complex adaptive systems approach to support critical perspectives in advancing health equity for 2SLGBTQIA+ people.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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".