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Record W2105385003 · doi:10.12927/cjnl.2008.19877

The Power behind Empowerment for Staff Nurses: Using Foucault's Concepts

2008· article· en· W2105385003 on OpenAlexaffvenue
Sonia Udod

Bibliographic record

VenueNursing leadership · 2008
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEmpowermentPower (physics)Context (archaeology)DisciplineSociologyNursingWork (physics)PsychologyHealth careEngineering ethicsPublic relationsMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

The concept of staff nurse empowerment is often evoked in dialogue concerning the nature of nurses' practice in improving their work environments. Nurse empowerment has been the subject of vigorous discussion in healthcare settings, and has been researched largely through an organizational perspective. In this paper, nurse empowerment is analyzed by drawing upon a critical science approach as an alternative theoretical lens. Power is integral to empowerment, and occurs in the context of relations of power. The author uses the ideas of Michel Foucault to address the different ways in which power relations shape nurses' experiences in the workplace. Foucault conceptualizes power as a form of power that envelops staff nurses and nurse managers and, more specifically, as a set of disciplinary techniques. Rather than discussing power solely as a repressive force, Foucault identifies the productive aspects of power. His analysis of where power resides suggests a thought-provoking approach to staff nurse empowerment that has the potential to change nurses' practice through points of resistance, and thus has implications for improving the quality of nurses' work life.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
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 head0.164
GPT teacher head0.381
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2008
Admission routes2
Has abstractyes

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