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Record W2331461381 · doi:10.3928/01484834-20110715-03

Transformative Learning Through a Research Practicum for Undergraduate Nursing Students

2011· article· en· W2331461381 on OpenAlexaff
Helen Kirkpatrick, Donna Tweedell, Dyanne Semogas

Bibliographic record

VenueJournal of Nursing Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPracticumTransformative learningBachelorCompetence (human resources)PsychologyMedical educationNursing researchNarrativeHarmNurse educationPedagogyNursingMedicineSocial psychology

Abstract

fetched live from OpenAlex

In their final year of a Bachelor of Science in Nursing (BScN) program, students are required to take a research practicum related to clinical practice in a new or ongoing research project, supervised by nursing faculty. This course is designed to enhance students' understanding of the research process. The student's potential role as a research collaborator is emphasized. Involvement in an interdisciplinary narrative study with formerly homeless individuals challenged by severe alcohol dependence, in general poor health and living in a harm reduction environment, transformed students' values, assumptions, and beliefs. Not only did students gain confidence in their beginning skills as potential research collaborators, but they also felt that their future practice would be enhanced by new perspectives gained by studying a marginalized and stigmatized group, thus enabling them to appreciate cultural diversity and improve their competence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0080.004
Open science0.0050.019
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0120.005

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 head0.365
GPT teacher head0.586
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations8
Published2011
Admission routes1
Has abstractyes

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