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Record W1988734941 · doi:10.1155/2011/501790

Voices That Care: Licensed Practical Nurses and the Emotional Labour Underpinning Their Collaborative Interactions with Registered Nurses

2011· article· en· W1988734941 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNursing Research and Practice · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsJewish Rehabilitation HospitalUniversité de Montréal
FundersMinistère de l'Éducation, du Loisir et du Sport Québec
KeywordsNursingInterpersonal communicationMedicineQuality (philosophy)Interpersonal interactionUnderpinningIdentity (music)PsychologySocial psychology

Abstract

fetched live from OpenAlex

Recognizing the emotional labour underlying interprofessional collaborations (IPCs) could be considered a crucial step towards building a cohesive nursing team. Although IPCs between registered nurses (RNs) and licensed practical nurses (LPNs) have been linked to quality nursing care, little is known about the emotions experienced by LPNs during their interactions with RNs or those factors that influence IPCs. A questionnaire administered to 309 LPNs found that (1) the professional identity of LPNs has evolved into a that of a unique social group; (2) LPNs define IPC as an interpersonal process of exploring similar or dissimilar assessments of a patient's status with RNs and, together, establishing a course of nursing actions; (3) the primary organizational factor facilitating IPCs is inclusive nursing leadership; (4) the interpersonal factor promoting IPCs is the level of trust RNs extend to LPNs; and (5) an LPN's emotional labour (i.e., internal emotional regulation) is most tangible during uncollaborative interactions with RNs.

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.005
Scholarly communication0.0010.002
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 head0.265
GPT teacher head0.512
Teacher spread0.247 · 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