Bibliographic record
Abstract
Health leaders in organizational governance have a key role in enacting the Truth and Reconciliation Commission's Calls to Action. This discussion highlights historical and contemporary truths that can underpin action for addressing colonial impacts on Indigenous (First Nations, Metis, and Inuit) health outcomes and healthcare. Emphasis is on white settler roles and responsibilities, where health-related Calls provide a blueprint for health reconciliation leadership. There is broad agreement of the necessity to acknowledge and address key cornerstones of decolonization at individual, intermediary, and organizational stages: racism, white settler power and privilege, and cultural safety. Already existing leadership roles, responsibilities, and inter-organizational networks can form a solid foundation for health leaders to bring the Calls to the table-alongside First Nations, Metis, and Inuit peoples, in meetings, forums, and conferences and in lobbying efforts to influence the structural, systemic shape, and direction of healthcare in Canada.
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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 | 0.065 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.056 |
| Scholarly communication | 0.035 | 0.021 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.011 | 0.020 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".