Informing critical indigenous health education through critical reflection: A qualitative consensus study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To examine experiences of anti-Indigenous racism in a Canadian medical school and inform the development of critical and action-oriented Indigenous health education necessary to pave the way for reconciliation within health systems. Design: A qualitative study conducted within a constructivist paradigm which involved (1) semi-structured interviews with students, faculty and staff at a Canadian medical school and (2) consensus-building/collaborative analytical sessions with an Indigenous advisory group and a non-Indigenous working group. Setting: Twenty-three semi-structured interviews were completed with students, staff and faculty working across a Canadian medical school. Results: Inductive coding generated 211 codes that were grouped into seven overarching thematic domains. By engaging in an iterative dialogue with the advisory and working groups, we deductively aligned the thematic analysis with faculty-level and institution-level Indigenous education strategies to ensure local relevance. Self-reflective statements were developed with the advisory group to guide areas for action and resulted in 18 statements with five-point Likert-type-style response options. Conclusion: The results of this study suggest that promoting self-reflexivity in health professional education can prompts educators to engage with Indigenous health curriculum and pedagogy; mentorship and role modelling; and accountability. Critically evaluating systemic injustices at an individual level enables educators to resist systemic oppression and create change in the spaces where they work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.007 | 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) | 0.000 | 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 it