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Record W2195012973 · doi:10.17483/2368-6669.1039

Educating for Complexity In Nursing Practice: A Baccalaureate Curriculum Innovation

2015· article· en· W2195012973 on OpenAlexaffvenue
Patricia Rosenau, Lorraine Watson, Leianne Vye-Rogers, Martie Dobbs

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2015
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCurriculumScholarshipRelevance (law)SalientPedagogyCurriculum developmentSociologyEngineering ethicsMedical educationMedicinePolitical scienceEngineering

Abstract

fetched live from OpenAlex

This expository article describes an overview of salient changes made to a baccalaureate curriculum to meet the ever changing demands of health care, professional nursing practice, and post-secondary education. The innovations were embedded in the tenets of complexity science, mandates of our professional practice, the contextual relevance of the curriculum and the scholarship of integrative learning. The curriculum is present and future oriented, evidence-based and relevant. The curricular structure shifts content and pedagogy from the traditional stance. The planned and integrative semester course design is greater than the sum of its parts; course content is carefully chosen to illustrate the integrative nature of health and illness, and taken together, these strategies prevent notions of simple to complex learning. The shift from a traditional curricular approach necessitated the examination of how we optimized the use of scarce fiscal and physical educational resources and how we collaborated with all of our stakeholders.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.097
GPT teacher head0.500
Teacher spread0.403 · 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 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

Citations10
Published2015
Admission routes2
Has abstractyes

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