Postcolonial theory and Canada’s health care professions: bridging the gap
Bibliographic record
Abstract
In recent years there have been several calls in professional and academic journals for healthcare personnel in Canada to raise the profile of postcolonial theory as a theoretical and explanatory framework for their practice with Indigenous people. In this paper I explore some of the challenges that are likely to confront those healthcare personnel in engaging with postcolonial theory in a training context. I consider these challenges in relation to three areas of conflict. First I consider conflicts around paradigms of knowledge, wherein postcolonial theory operates from a different base from most professional knowledge in health care. Second I consider conflicts of ideology, wherein postcolonial theory is largely at odds with Canada's political and popular cultures. And finally I consider issues around the question of Canada's legitimacy, which postcolonial theory puts in doubt. I suggest ways in which these conflicts might be addressed and managed in the training context, and also identify potential positive outcomes that would be enabling for healthcare personnel, and might also contribute to an improvement in Canada's relationship with its indigenous peoples.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".