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Record W2804174500 · doi:10.5430/jnep.v8n10p36

Putting reflective practice into action: A case study

2018· article· en· W2804174500 on OpenAlexafffundvenueabout
Ronald A. Smith, Sharyn Andrews, Catherine Oliver, Jane Chambers‐Evans

Bibliographic record

VenueJournal of Nursing Education and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsMcGill University Health CentreConcordia University
FundersMcGill University Health CentreMcGill University
KeywordsReflective practiceInterpersonal communicationAction (physics)Session (web analytics)Reflection (computer programming)PsychologyNursingMedical educationProfessional developmentMedicinePedagogyComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

The McGill University Health Centre Reflective Practice Program, which began in 2003, provides a theory and structure for reflection and is the basis of an ongoing professional development program for nurses in leadership positions. It is designed to improve their knowledge and skills, and to provide support to nurse leaders who are continually facing difficult interpersonal situations involving staff, patients, families and the interdisciplinary team. It is based on a well-developed theoretical framework, a theory-of-action approach to reflective practice (RP). This approach is described in some detail, together with the training program for RP facilitators. This RP program involves regular monthly small group meetings to discuss challenging interpersonal situations. To date, 37 facilitators have been trained and currently about 120 nurses are participating regularly in RP groups. To illustrate this approach a detailed example of a typical RP session is presented, together with some illustrative feedback data collected over several years. We conclude with recommendations for implementing this type of RP program and describe how our theoretical approach has spread beyond the nursing department and has been introduced to some students and faculty in the School of Nursing and to interprofessional staff in one of the clinical groupings.

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)0.008
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.517
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.006
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 head0.193
GPT teacher head0.609
Teacher spread0.416 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations5
Published2018
Admission routes4
Has abstractyes

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