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Creating and Using Poetry to Teach Theoretical and Conceptual Nursing Content

2023· article· en· W4388500600 on OpenAlex
Kateryna Metersky, Rezwana Rahman, Christy Hoang

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

VenueNursing Education Perspectives · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsTransformative learningBridging (networking)Nursing theoryPoetryPsychologyNurse educationBridge (graph theory)Teaching methodPedagogySociologyMedical educationMEDLINEMedicineComputer scienceChemistryPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT: In nursing academia, educators are faced with the longstanding challenge of bridging the theory-practice gap. In a second-year nursing theory course, students were introduced to poetry on a biweekly basis, written by their educator in response to student needs in understanding complex theoretical and conceptual nursing topics. Through anecdotal evidence from clinical instructors and students, the sharing of poetry and subsequent discussions helped students to develop and enhance their critical thinking and clinical judgment, reasoning, and decision-making skills. This transformative pedagogical approach offers an alternative teaching strategy that can provide the basis for meaningful discussion and bridge the theory-practice gap.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
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 head0.062
GPT teacher head0.415
Teacher spread0.353 · 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