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Record W4401382464 · doi:10.1097/nne.0000000000001713

A Case for Open Pedagogy in Nursing Education

2024· article· en· W4401382464 on OpenAlexaffabout
Kristin Petrovic, Beth Perry, Pamela Walsh

Bibliographic record

VenueNurse Educator · 2024
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsAthabasca University
Fundersnot available
KeywordsScholarshipNurse educationOpen educationAgency (philosophy)Nature versus nurturePedagogyExploratory researchNursingNurse educatorSociologyPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Open pedagogy increases access to equitable nursing education with its commitment to the scholarship of "teaching and learning" and critically framed, student-centered, relational, and open knowledge principles. PURPOSE: This study examined the operation of and factors that nurture and challenge the practice of open pedagogy in an undergraduate digital distance nursing education program. METHODS: An exploratory qualitative methodology was used to examine linkages between open pedagogy and a nursing education program in an open digital distance Canadian university. A critical realist research paradigm provided the framework for the study. RESULTS: Our findings shed light on how open pedagogy is practiced in relation to its 5 principles and delve into the major themes of nurse educator agency, course design, and institutional structure. CONCLUSIONS: The study addresses a dearth in the literature by exploring the potential of open pedagogy to increase access to meaningful and critically framed nursing education.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0140.055
Scholarly communication0.0120.015
Open science0.0030.017
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0100.001

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 head0.037
GPT teacher head0.438
Teacher spread0.401 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
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

Citations0
Published2024
Admission routes2
Has abstractyes

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