MétaCan
Menu
Back to cohort
Record W2326799715 · doi:10.1111/nin.12135

There be dragons: effects of unexplored religion on nurses’ competence in spiritual care

2016· article· en· W2326799715 on OpenAlexafffund
Barbara Pesut

Bibliographic record

VenueNursing Inquiry · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersCanada Research Chairs
KeywordsSpiritualitySpiritual careCompetence (human resources)PsychologySociologyMeaning (existential)Health careLexiconEpistemologySocial psychologyNursingPsychotherapistMedicinePhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

On ancient maps unexplored lands were simply labeled 'there be dragons' indicating the fear that attends the unknown. Despite three decades of theoretical and empirical work on spirituality in nursing, evidence still suggests that nurses do not feel competent to engage in spiritual care. In this paper I propose that one of the reasons for this is a theory-theory gap between religion and spirituality. Generalized anxiety about the role of religion in society has led to under-theorizing in nursing about religious care. As a result, when religion and spirituality overlap at the point of care, nurses are left without the substantive knowledge required for practice. Robust religious theorizing should include thick accounts of lived religion and integrative work that enables nurses to understand commonalities across religions that are relevant to practice. As a starting point to this integrative work, nurses can be introduced to the nature and lexicon of lived religion, religious perspectives on suffering, and religious reasoning that holds meaning and mystery in tension. Such an approach will better prepare them for the realities of practice where the complexities of spirituality and religion come to play.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.379
Teacher spread0.330 · 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

Citations14
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueNursing InquirySame topicReligion, Spirituality, and PsychologyFrench-language works237,207