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Psychiatric nurses’ perspectives of spirituality and spiritual needs during an amalgamation

2006· article· en· W2139285573 on OpenAlexaff
Shannon L. Ray, David C. McGee

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsSpiritualityMeaning (existential)Social connectednessNursingPsychologyQualitative researchSpiritual careSpiritual intelligenceMedicinePsychotherapistSocial psychologySociologyAlternative medicineEmotional intelligence

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the meaning of spirituality and how the spiritual needs of psychiatric nurses could be supported at work during a hospital amalgamation. Forty-six nurses completed the General Information Questionnaire and described the meaning of spirituality and how their spiritual needs could be supported. Data were analysed by the double-coding qualitative method. The themes identified for the meaning of spirituality included: being hopeful, having belief/belief systems, maintaining relatedness/connectedness and the expression of spirituality. The major themes identified to support nursing staffs' spiritual needs at work included communication, offering hope, being valued and support from spiritual sources. Nurses expressed the importance of spirituality in their lives and the need for spiritual support at work. Data for addressing staff spiritual needs are reported; however, further studies are needed to understand the spiritual needs of nursing staff at work during hospital amalgamations.

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)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.372
Teacher spread0.357 · 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 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

Citations13
Published2006
Admission routes1
Has abstractyes

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