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Record W2892287623 · doi:10.1111/jnu.12426

Embracing the Focus of the Discipline of Nursing: Critical Caring Pedagogy

2018· article· en· W2892287623 on OpenAlexaff
Peggy L. Chinn, Adeline Falk‐Rafael

Bibliographic record

VenueJournal of Nursing Scholarship · 2018
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsYork University
Fundersnot available
KeywordsDisciplineCurriculumNurse educationNursing theoryPedagogyNursingFocus groupNursing researchSociologyPsychologyMedicineMEDLINE

Abstract

fetched live from OpenAlex

PURPOSE: To present a theoretical model that grounds teaching and learning in nursing in the focus, values, and ideals of nursing as a discipline. ORGANIZING CONSTRUCTS: The critical caring pedagogy model was formed by integrating Falk-Rafael's theory of critical caring in public health nursing, Noddings' philosophy of caring education, and Chinn's theory of peace and power. METHODS: The model of critical caring pedagogy was developed by logical analysis of the three organizing constructs and the conceptual relationships between and among these constructs. The analysis was informed by the authors' experiences implementing the theoretical constructs in teaching and learning. CONCLUSIONS: When nurse educators ground teaching and learning practice in nursing's own theoretical and philosophic foundation, they teach nursing in powerful ways that show nursing values and ideals through action, revealing deeper meanings of the words that form texts, lectures, and objectives set forth in a curriculum outline. CLINICAL RELEVANCE: Nursing students who experience education that is grounded in nursing's own disciplinary focus acquire an appreciation of nursing's disciplinary knowledge grounded in experience, paving the way for grounding their eventual practice in nursing theoretical perspectives.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.075
GPT teacher head0.434
Teacher spread0.359 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations47
Published2018
Admission routes1
Has abstractyes

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