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Record W2322621497 · doi:10.1177/1541344612441083

Arts-Based Critical Inquiry in Nursing and Interdisciplinary Professional Education

2011· article· en· W2322621497 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Transformative Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsTransformative learningExperiential learningPedagogySociologyThe artsContext (archaeology)Psychology

Abstract

fetched live from OpenAlex

In this article, transformative educators are encouraged to use an arts-based critical inquiry approach within their diversity-sensitive teaching practice. Using a Socratic dialogue, the authors describe how guided imagery, images, narratives, and poetry have been useful in developing transformative insights in relation to spiritual/ecological values, sexual orientation, and culture in the context of nursing and interdisciplinary professional education. Arts-based approaches that incorporate constructivist dimensions can potentially stimulate critical inquiry in educational settings that can spark the thoughtful dialogue and passion needed for practitioners to engage in emancipatory practices for social change. The underlying adult learning theoretical frameworks for this teaching and learning dialogue are transformative learning and unlearning. Innovative arts-based and experiential approaches to diversity-sensitive teaching nurture the dynamic engagement and individual and collective reflection that fosters interpersonal understanding and hope for meaningful community connections and social change.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.056
GPT teacher head0.472
Teacher spread0.417 · 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