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Master i anestesi- og intensivsykepleie: en kartlegging av fagmiljøenes holdninger og forventninger

2021· article· no· W3127704672 on OpenAlexaboutno aff
Anne Marie Gran Bruun, Berit Taraldsen Valeberg

Bibliographic record

VenueSykepleien Forskning · 2021
Typearticle
Languageno
FieldPsychology
TopicEducation, Healthcare and Sociology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Background: As novice practice developers who have attended several enhancing practice conferences and a practice development school, we have been experimenting with the core concepts of personcentred nursing practice and practice development within our masters of nursing programme at Ryerson University, Toronto. Through the process of revising course syllabi, seminar outlines and activities to align with these concepts, we have collated our reflections on the connections between person-centred nursing practice, practice development and advanced nursing practice competencies. A brief description of the Canadian context is provided, along with key elements of course activities, to help situate our conceptualisations. Aim: To share our emerging ideas about connectedness and its usefulness as a metaphor that captures the critical interconnection between person-centred care, practice development and postgraduate nursing education. Conclusions: Connectedness is a relevant and important metaphor to articulate our theoretical understanding of how person-centred care, practice development and the development of advanced nursing competencies are intimately connected. We propose that explicit connections are necessary and essential if postgraduate nursing students are to embrace and sustain person-centred practices as advanced nursing practitioners who are required to transform cultures of practice within varied and complex healthcare settings.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.122
GPT teacher head0.436
Teacher spread0.314 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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