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Record W4389315459 · doi:10.1097/cnj.0000000000001129

Praying the Psalms as a Nursing Resilience Intervention

2023· article· en· W4389315459 on OpenAlexaff
Kristin Helms, Santhiny Rajamohan, Deborah Tedone

Bibliographic record

VenueJournal of Christian Nursing · 2023
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsPrivacy Analytics (Canada)
Fundersnot available
KeywordsPrayerBurnoutFaithFace (sociological concept)StressorIntervention (counseling)PsychologyPsychological resiliencePastoral careNursingSocial psychologyPsychotherapistSociologyMedicinePhilosophyTheologyClinical psychology

Abstract

fetched live from OpenAlex

ABSTRACT: Nurses face a range of unhealthy organizational, physical, psychological, and spiritual issues that can lead to burnout, turnover, and leaving the profession. Nurses who use prayer for support may find their faith to be another source of tension when stressors endlessly continue without change despite prayer. Walter Brueggemann's states of orientation, disorientation, and reorientation in his classic work on praying the Old Testament book of Psalms offer a means for managing spiritual tension. Praying using the psalms can become a self-care tool for building resilience.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.449
Teacher spread0.419 · 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 designOther design
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

Citations0
Published2023
Admission routes1
Has abstractyes

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