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Record W3115581766 · doi:10.1111/nin.12395

Towards abandoning the master’s tools: The politics of a universal nursing identity

2020· article· en· W3115581766 on OpenAlexaff
Blythe Bell

Bibliographic record

VenueNursing Inquiry · 2020
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIdentity (music)ConceptualizationReflexivitySociologyScholarshipDisciplinePower (physics)PoliticsHealth careProfessionalizationHegemonyGender studiesNursingMedicinePolitical scienceSocial scienceLawAesthetics

Abstract

fetched live from OpenAlex

Healthcare environments continue to prove discriminatory and marginalizing towards patients and healthcare workers themselves, which contributes to inequitable health outcomes across lines of socially constructed difference. This content and discourse analysis of nursing identity scholarship asks whether there is a connection between nursing identity and oppressive behaviour by examining the construction of nursing identity and the foundational discourses, sometimes in absentia, that support such a construction. Bourdieu's concepts of social fields and Audre Lorde's concept of the master's house are applied as a framework towards understanding the constructs of power and status in healthcare. The analysis identifies a gap in nursing identity literature where social constructs of difference are not considered. In the reviewed literature, nursing identity has been co-opted by the professionalization project in effort to stabilize a conceptualization of nursing's contribution to healthcare towards gaining professional and societal status. This leads to a monolithic, apolitical representation of nursing identity that erases difference, denies historical influence, universalizes nursing work and further marginalizes marginalized identities. The oppressive and hegemonic nature of a universal nursing identity may contribute to a lack of disciplinary reflexivity about the ongoing influences of foundational discursive constructs of gender, epistemology, power and professional status.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.571
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.102
GPT teacher head0.350
Teacher spread0.248 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2020
Admission routes1
Has abstractyes

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