Decolonial, intersectional pedagogies in Canadian Nursing and Medical Education
Bibliographic record
Abstract
Our intention is to contribute to the development of Canadian Nursing and Medical Education (NursMed) and efforts to redress deepening, intersecting health and social inequities. This paper addresses the following two research questions: (1) What are the ways in which Decolonial, Intersectional Pedagogies can inform Canadian NursMed Education with a focus on critically examining settler-colonialism, health equity, and social justice? (2) What are the potential struggles and adaptations required to integrate Decolonial, Intersectional Pedagogies within Canadian NursMed Education in service of redressing intersecting health and social inequities? Briefly, Decolonial, Intersectional Pedagogies are philosophies of learning that encourage teachers and students to reflect on health through the lenses of settler-colonialism, health equity, and social justice. Drawing on critical ethnographic research methods, we conducted in-depth interviews with 25 faculty members and engaged in participant observation of classrooms in university-based Canadian NursMed Education. The research findings are organized into three major themes, beginning with common institutional features influencing pedagogical approaches. The next set of findings addresses the complex strategies participants apply to integrate Decolonial, Intersectional Pedagogies. Lastly, the findings illustrate the emotional and spiritual toll some faculty members face when attempting to deliver Decolonial, Intersectional Pedagogies. We conclude that through the application of Decolonial, Intersectional Pedagogies teachers and students can support movements towards health equity, social justice, and unlearning/undoing settler-colonialism. This study contributes new knowledge to stimulate dialog and action regarding the role of health professions education, specifically Nursing and Medicine as an upstream determinant of health in settler-colonial nations such as Canada, United States, Australia, and New Zealand.
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.041 | 0.043 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".