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Record W2054852393 · doi:10.5539/gjhs.v7n2p235

The Global Perspective of Nursing Students in Relation to College Peers

2014· article· en· W2054852393 on OpenAlexvenueno aff
Eman Allam, Mary E. Riner

Bibliographic record

VenueGlobal Journal of Health Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Intrapersonal communicationNursingPsychologyTranscultural nursingPerceptionAffect (linguistics)PopulationSocial psychologyMedicineHealth careSociologyInterpersonal communicationDemographyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of the present study was to assess the nursing students' global perspectives and compare it to a nationally normed reference group. BACKGROUND: An individual's global perspective impacts the extent to which the person perceives and knows the people and cultures within the world. Nursing care is expected to take a holistic perspective in providing care and respond in culturally appropriate ways to a diverse population through understanding the impact of cultural influences. METHODS: Participant nursing students completed the Global Perspective Inventory survey and information about their current global perspective taking and their perceptions of curricular and co-curricular experiences was collected and analyzed. RESULTS: Compared to the nationally normed reference group, nursing students expressed statistically significant lower intrapersonal affect average score. Although higher average scores were detected in most of the other scales, differences were not statistically significant. CONCLUSION: A global perspective approach to intercultural nursing education is an area that needs to be further developed and different options are to be examined.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.457
Teacher spread0.415 · 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 designObservational
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

Citations4
Published2014
Admission routes1
Has abstractyes

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