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Record W2065980802 · doi:10.2202/1548-923x.1038

Creating Cohesion Between the Discipline and Practice of Nursing Using Problem Based Learning

2004· article· en· W2065980802 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

VenueInternational Journal of Nursing Education Scholarship · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCohesion (chemistry)CurriculumNursingProblem-based learningNurse educationPsychologyMedicinePedagogyMedical education

Abstract

fetched live from OpenAlex

For at least four decades there has been concern about the discontinuity between the discipline and practice of nursing. The learning traditions in nursing, including the traditional organization of professional educational curricula with an emphasis on general education, could be contributing to this discontinuity. Problem Based Learning (PBL) has been identified as one way to facilitate greater cohesion between the discipline and practice of nursing. Nursing learners exposed to PBL are challenged to achieve professionally desired liberal learning outcomes and acquire knowledge and skill in the discipline of nursing by encountering key professional practice situations as the stimulus and focus of their classroom learning activity. By combining reflection on existing knowledge essential to understanding the situation with research for new knowledge, PBL reflects the process of knowledge generation. Through PBL learners can achieve a deeper understanding of nursing as a discipline, the relationship of nursing to other disciplines and cohesion between the discipline and practice of nursing.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.723
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.112
GPT teacher head0.482
Teacher spread0.370 · 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