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Record W2955102463 · doi:10.25071/2291-5796.23

Rethinking the social role of nursing through the work of Donzelot and Foucault  

2019· article· en· W2955102463 on OpenAlex
Évy Nazon, Amélie Peron, Thomas Foth

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueWitness The Canadian Journal of Critical Nursing Discourse · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of OttawaUniversité du Québec en Outaouais
Fundersnot available
KeywordsNormalization (sociology)SociologyEveryday lifeMichel foucaultCorporate governanceSocial lifePopulationNursingSocial sciencePolitical scienceMedicinePoliticsManagementLaw

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.019
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.387
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it