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Record W2590953190 · doi:10.5430/jnep.v7n7p104

The art of knowing: Designing a nursing professional development program based on American nurses’ experiences of providing care to Arab Muslims

2017· article· en· W2590953190 on OpenAlexvenueno aff
Stephen R. Marrone

Bibliographic record

VenueJournal of Nursing Education and Practice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsDignityNursingValue (mathematics)PsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Objective and methods: The purpose of this project was to gain insight into American nurses’ experiences of providing care to Arab Muslims in order to design a nursing professional development program that supports the provision of culturally congruent care to Arab Muslims. Empirical, personal, ethical, and aesthetic ways of knowing were used to generate a comprehensive view of how American nurses describe their experiences of providing care to Arab Muslims.Results: Prevailing themes included culture care knowledge, modesty, gender-specific considerations, privacy and dignity, cleanliness, worship rites, and the concept of In Shallah. Not having enough time was a significant factor influencing nurses’ intentions to provide culturally congruent care. Nurses also shared that it was less important to meet the culture care needs of acutely or critically ill patients.Conclusions: The themes underscored the value of including empirical, personal, ethical, and aesthetic knowledge in the design of a nursing professional development programs in the United States and globally.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.115
GPT teacher head0.522
Teacher spread0.407 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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