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<i>Rhizomatic</i> thought in nursing: an alternative path for the development of the discipline

2004· article· en· W2076565109 on OpenAlexafffund
Dave Holmes, Denise Gastaldo

Bibliographic record

VenueNursing Philosophy · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of TorontoUniversity of Ottawa
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsPostmodernismSociologyEpistemologyPoliticsCriticismStatus quoNursing theoryOntologyNursingMedicinePhilosophyMEDLINEPolitical scienceLaw

Abstract

fetched live from OpenAlex

For decades, nursing as a discipline has tried to establish itself within the socio-professional and the socio-political arenas. To date, several theorists have attempted to thoroughly define the essence (ontology) of nursing while others have proposed means (syntax) to achieve this "collective" objective. Considering that this preoccupation, rooted in essentialism, is pervasive in the nursing literature, our claim is that these quests should be criticized because they impede innovative and transdisciplinary approaches to nursing theory. Our criticism includes the perspective supported by the so-called "postmodern nursing theorists". We argue that the oeuvre of some nursing postmodern scholars is as prescriptive and linear as the ones they critique. Like it was done before, the discourse of these thinkers perpetuates the status quo by excluding alternative forms of knowledge that cross the boundaries of the discipline of nursing. Using the work of Deleuze and Guattari, this paper proposes an alternative way to conceive the development of nursing knowledge, which, we think, could represent an alternative way to explore the 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)0.014
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0080.114
Scholarly communication0.0170.017
Open science0.0030.009
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.069
GPT teacher head0.395
Teacher spread0.327 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations66
Published2004
Admission routes2
Has abstractyes

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