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Record W2190498302 · doi:10.17483/2368-6669.1041

Breaking From Tradition: Transforming Leadership Education in Nursing

2015· article· en· W2190498302 on OpenAlexafffundvenue
Holly Symonds‐Brown, Margaret Milner

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2015
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsMacEwan University
FundersMacEwan University
KeywordsTransformational leadershipCurriculumTransformative learningPedagogyStewardship (theology)Nurse educationConsolidation (business)Identity (music)Leadership studiesSociologyMedical educationPsychologyLeadership styleMedicinePolitical sciencePublic relations

Abstract

fetched live from OpenAlex

Leadership development is critical for nurses to be engaged in health system reform and transformation. Trends in nursing practice led to the development of an innovative senior consolidation course in our four year undergraduate nursing program. We hypothesized that providing opportunities for application of theoretical knowledge related to complex adaptive systems and leadership would enhance professional identity formation. We describe our experiences implementing a clinical course wherein nursing students are provided opportunities to explore and develop their leadership acumen within an undergraduate curriculum. We discuss how breaking from curricular tradition involved intentional use of pedagogy (transformational learning theory), innovative instructional design, and the formation of collaborative partnerships to provide a space for students to practice the cognitive, relational, and meaning making skills required for leadership development. We highlight the impact of this journey on students, faculty, and community partners as we forge ahead in planning next steps to determine the level of engagement of our graduates in health system design, advocacy, and stewardship.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
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 head0.084
GPT teacher head0.405
Teacher spread0.322 · 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 designOther design
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
Published2015
Admission routes3
Has abstractyes

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