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Record W3081762009 · doi:10.1002/nop2.608

Comparing feeling of competence regarding humanistic caring in Belgian nurses and nursing students: A comparative cross‐sectional study conducted in a French Belgian teaching hospital

2020· article· en· W3081762009 on OpenAlex
Dan Lecocq, Philippe Delmas, Matteo Antonini, Hélène Lefebvre, Martine Laloux, Amélie Beghuin, Chantal Van Cutsem, Aurélia Bustillo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNursing Open · 2020
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFeelingCompetence (human resources)Cross-sectional studyNursingHumanismPsychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Aim: The aim of the study was to describe and compare feeling of competence regarding humanistic caring in Registered Nurses (RN) and nursing students (NS). Design: A quantitative comparative cross-sectional research design was used. Methods: A convenience sample of 196 RN and 47 NS in a teaching hospital in Belgium completed a self-administered questionnaire composed of a sociodemographic survey and the Caring Nurse-Patient Interactions Scale (CNPI-23) developed by Cossette et al. Results: The four dimensions of the CNPI-23 were compared using the Skillings-Mack test. Both groups scored higher on "humanistic" and "comforting" than on "clinical" and "relational" care and both scored lowest on this last dimension. Linear regressions showed that none of the variables had a statistically significant influence on the CNPI-23 scores, except for NS "state of health," which influenced their feeling of competence regarding "relational care."

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.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.103
GPT teacher head0.443
Teacher spread0.340 · 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