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Record W2090303830 · doi:10.3928/01484834-20121022-01

The Clinical Instructor Role in Nursing Education: A Structured Literature Review

2012· review· en· W2090303830 on OpenAlexaff
Sherry Dahlke, Jennifer Baumbusch, Frances Affleck, Jae-Young Kwon

Bibliographic record

VenueJournal of Nursing Education · 2012
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsContext (archaeology)Inclusion (mineral)Medical educationPerceptionPsychologyProfessional developmentClinical PracticeNurse educationMedicineNursing

Abstract

fetched live from OpenAlex

A structured literature review was conducted to understand clinical instructors' perceptions of their role and the factors that facilitate and constrain their teaching in undergraduate nursing programs. The literature published in English between 2000 and 2011 was searched, and data were extracted from 15 articles that met the inclusion criteria. The analysis identified four themes-characteristics of the role, characteristics of effective clinical teaching, influence of the clinical context on the role, and influence of the academic context on the role. Clinical instructors are portrayed as needing to be good educators, as well as excellent clinicians. However, they often lack formal education and professional development opportunities related to the role and must draw on their individual personal and professional experiences to guide their teaching to meet the demands of both the clinical and academic contexts in which they simultaneously work.

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)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0160.012
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.480
Teacher spread0.416 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations76
Published2012
Admission routes1
Has abstractyes

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