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Record W2340096544 · doi:10.1177/0898010115608968

Wilber’s Integral Theory and Dossey’s Theory of Integral Nursing

2015· article· en· W2340096544 on OpenAlexaff
Linda Shea, Noreen Frisch

Bibliographic record

VenueJournal of Holistic Nursing · 2015
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of VictoriaBritish Columbia Institute of Technology
Fundersnot available
KeywordsNursing theoryNursingMedicineMEDLINEPolitical science

Abstract

fetched live from OpenAlex

The purpose of this article is to examine Dossey's theory of integral nursing in relation to its major theoretical source, Wilber's integral theory. Although several nursing scholars have written about integral theory in relation to nursing scholarship and practice, Dossey's theory of integral nursing may be influencing how nurses take up integral theory in a significant way due to an extensive outreach in the holistic nursing community. Despite this wide circulation, the theory of integral nursing has yet to be reviewed in the nursing literature. This article (a) compares Dossey's theory of integral nursing with Wilber's integral theory and (b) contrasts Dossey's integral approach with another integral approach used by other scholars of integral theory.

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)0.006
metaresearch head score (Gemma)0.009
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 score0.007
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.034
Scholarly communication0.0050.010
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.216
GPT teacher head0.547
Teacher spread0.331 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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