Foucault's legacy for nursing: are we beneficiaries or intestate heirs?
Bibliographic record
Abstract
Drawing upon selected literature from the United Kingdom, Denmark, and Canada we examine how Foucault's concepts of 'episteme', 'rupture' 'parrhesia' 'care of the self', and 'problemitization' have been applied to particular contexts of leadership development, pedagogy, nursing knowledge, and the relationship between caring and politics. Our aims are threefold: to give examples of how selected Foucauldian concepts have been taken up in practice; to clarify how we are positioned today as nurses; and to invite more nurses to engage critically with historical inquiry and to engage in deep philosophical reflection about their relationship with nursing. We begin by examining the conditions and circumstances of Foucault's life, and conclude by posing the question in our subtitle to stimulate debate about the philosophical relevance of Foucauldian scholarship to nursing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".