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Paranoid investments in nursing: a <i>schizoanalysis</i> of the evidence‐based discourse

2007· article· en· W2048129654 on OpenAlexafffund
Dave Holmes, Denise Gastaldo, Amélie Perron

Bibliographic record

VenueNursing Philosophy · 2007
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of TorontoUniversity of Ottawa
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsSchismDiversity (politics)Dominance (genetics)SociologyEpistemologyPsychologyNursingPhilosophyMedicinePoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

There are those who would argue that, recently, the profession of nursing has made a radical shift, while others believe that a schism has been created among both scholars and clinicians as a result of the emerging dominance of the evidence-based nursing movement. This paper offers a philosophical critique of this movement using Gilles Deleuze and Felix Guattari's concept of schizoanalysis. As a conclusion, the authors posit that nursing professionals maintain a stance of academic freedom of thought and scientific integrity through the acceptance of multiplicity, diversity, and polyvocality, and by challenging with politically charged concepts the totalizing perspectives that often spread through the profession/discipline of nursing.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.089
Scholarly communication0.0150.020
Open science0.0020.011
Research integrity0.0060.016
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.382
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2007
Admission routes2
Has abstractyes

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