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Record W2094621332 · doi:10.4236/ojn.2013.38073

The design, development and evaluation of a self-instructional module for nursing practice standards

2013· article· en· W2094621332 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen Journal of Nursing · 2013
Typearticle
Languageen
FieldNursing
TopicNursing Diagnosis and Documentation
Canadian institutionsUniversity of SaskatchewanPrince Albert Grand Council
Fundersnot available
KeywordsNursingScope (computer science)MedicineNursing researchNursing practiceNurse educationBest practiceComputer sciencePolitical science

Abstract

fetched live from OpenAlex

The purpose of this research was to improve nursing professionals’ understanding of the important link to safe, competent, and ethical practices that Nursing Practice Standards (NPS) serve. This research on NPS may improve the scope and comprehensiveness by which the Standards are integrated with clinical, educational, administrative, and research-based nursing practices. This research was unique in that it includes nurses in developing NPS. The method by which this study was done involved sixteen practicing nurses and seven instructional design experts from Alberta, Canada participating in designing, developing, and evaluating a NPS module. Nursing practice standards are a vital aspect of performing safe, efficient and effective patient care. The manner in which Nursing Standard Practices are presented and taught will directly influence a nurse’s ability to understand the value of NPS and successfully incorporate NPS into practice.

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)0.001
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 score0.980
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.078
GPT teacher head0.432
Teacher spread0.354 · 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