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Record W3108860046 · doi:10.1177/0898010120977326

Becoming a Channel of God: How Faith Community Nurses Develop Their Spiritual Practice

2020· article· en· W3108860046 on OpenAlexaff
Denise LeBlanc-Kwaw, Kathryn Weaver, Joanne Olson

Bibliographic record

VenueJournal of Holistic Nursing · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of AlbertaUniversity of New BrunswickDr. Georges-L.-Dumont University Hospital Centre
Fundersnot available
KeywordsFaithCompetence (human resources)Spiritual carePsychologySpiritualityWatsonSoulGrounded theoryExploratory researchNursingQualitative researchSociologySocial psychologyMedicineEpistemologyAlternative medicinePhilosophy

Abstract

fetched live from OpenAlex

PURPOSE: This study explored the underlying process faith community nurses (FCNs) experience in developing their spiritual nursing practice. DESIGN: A qualitative, exploratory design was used. METHOD: Data from interviews with six FCNs were generated and analyzed using Glaserian grounded theory. FINDINGS: The basic social psychological process, cultivating the soul to become a channel of God, explains the steps these nurses take to achieve stages of presence. Going through these stages of presence, FCNs develop a foundation of God-related beliefs and values, presence with self, presence with God, presence with others, presence with God and others, and become a channel of God. CONCLUSIONS: Developing spiritual care competence in assessing and meeting clients' spiritual needs is necessary to enhance person-centered practice, a vital aspect of holistic care. The model of presence can inform the development of spiritual care competencies and link to other nursing theories including Watson's theory of caring and Benner's novice to expert theory. Workplace support is needed for nurses to refine spiritual nursing care practices and integrate spiritual care into practice. Further research regarding the stages of presence could foster deeper understanding of how foundations of God-related values develop.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.168
GPT teacher head0.422
Teacher spread0.254 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2020
Admission routes1
Has abstractyes

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