Rethinking the social role of nursing through the work of Donzelot and Foucault
Bibliographic record
Abstract
The history of nursing is often perceived as the history of a profession with charitable and philanthropic objectives of helping others live a healthy life. Many historians have celebrated the major role played by charitable women in nursing. Moving beyond this charitable and dedicated image of nurses, we argue that nursing, through “the social,” became a pivotal component of the governance of the everyday lives of populations. As such, nursing became part of the evolving idea that all areas of life must be managed through a process of normalization that seeks to maximize the life of both the individual and the population. Populations thus became the focus of governmental projects. Jacques Donzelot’s notion of invention of the social and Michel Foucault’s concept of govenmentality make possible a reassessment of the conventional image of nurses, and in particular, that of charitable nurses.
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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 | 0.020 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.017 | 0.157 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.001 | 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".