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Record W2136662788 · doi:10.1177/0894318407299577

The Art of Nursing: Communication and Self-Expression

2007· article· en· W2136662788 on OpenAlexaffabout
Sheri Price, Elsa Arbuthnot, Rosalind Benoit, David Landry, Marilyn Landry, Lorna Butler

Bibliographic record

VenueNursing Science Quarterly · 2007
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsQueen Elizabeth II Health Sciences CentreHealth Sciences CentreDalhousie UniversitySt. Francis Xavier UniversityIzaak Walton Killam Health Centre
Fundersnot available
KeywordsConceptualizationPracticumExpression (computer science)Nursing theoryNursing scienceThe artsNursing researchSociologyNursingNursing practiceFine artEngineering ethicsPsychologyMEDLINEVisual artsPedagogyMedicineArtComputer sciencePhilosophyPolitical scienceEngineeringLinguistics

Abstract

fetched live from OpenAlex

Nursing is considered both an art and a science, yet the nature of art and science has been historically depicted as two distinct fields of inquiry in the health professions. To meet the health challenges of the future, blending science and art through nursing theory, research, and practice is critical. This article describes how nurses in a master's of nursing program at Dalhousie University broke with tradition for the practicum course to articulate and apply the theoretical elements of knowing using aesthetic inquiry. The challenge was in articulating and guiding students through the theory of aesthetic knowing, the linkages with the fine arts, and the conceptualization of nursing art.

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)0.005
metaresearch head score (Gemma)0.013
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0070.032
Scholarly communication0.0150.009
Open science0.0010.008
Research integrity0.0040.004
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 head0.018
GPT teacher head0.360
Teacher spread0.343 · 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
GenreOther

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

Citations25
Published2007
Admission routes2
Has abstractyes

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