Master i anestesi- og intensivsykepleie: en kartlegging av fagmiljøenes holdninger og forventninger
Bibliographic record
Abstract
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. Implications for practice:• Critical companionship is an important role for faculty within postgraduate nursing education • Connectedness is an important metaphor for describing the integral nature of person-centred care and practice development within academic settings
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".