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Record W2117551885 · doi:10.1002/shi.339

The elusiveness of spiritual wisdom in the art and science of nursing practice

2008· article· en· W2117551885 on OpenAlexaffabout
Jeannine Moreau

Bibliographic record

VenueSpirituality and Health International · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSpiritualitySpiritual practiceDiversity (politics)Health careSpiritual carePedagogyPsychologySociologyNursing practiceSpace (punctuation)EpistemologyNursingMedicinePhilosophyAlternative medicineLinguisticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract As two students and a teacher immersed in practice education at a Canadian nursing school. We were curious about how to engage in spiritual health care practice, viewed as relational nursing practice that assumes interconnections of spirit, health and healing. This paper explores how to interpret theoretical understandings into pragmatics of teaching, learning and engaging in spiritual health care practice. There is discussion about story telling, taking a stand of ‘not knowing’ (Irving and Moffatt, 2002), opening space for diversity, authentic dialogue across, within and through difference to inform pragmatic ways of knowing, being and of doing spiritual health care. To inform the discussion, theoretical perspectives on the religion/spirituality divide, interconnections of health, healing and spirit, ‘defining moments’ and spiritual/sacred spaces are presented. A review of the literature juxtaposed with student/teacher experiences and perspectives helps to inform a deeper understanding of teaching, learning and engaging in spiritual health care practice. Copyright © 2008 John Wiley & Sons, Ltd.

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)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.053
Scholarly communication0.0150.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.124
GPT teacher head0.482
Teacher spread0.358 · 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

Citations1
Published2008
Admission routes2
Has abstractyes

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