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Record W7155584474

IMPLEMENTACIÓN DE GUÍAS DE LA REGISTERED NURSES' ASSOCIATION OF ONTARIO (RNAO) A TRAVÉS DEL APRENDIZAJE BASADO EN PROBLEMAS

2025· other· es· W7155584474 on OpenAlexaboutno aff
Gustavo Adolfo Domínguez-Araya, Claudia Amigo Rojas, Edith Morales-Herrera, Francisca Adriazola-Díaz

Bibliographic record

VenueScientific Electronic Library Online (Scientific Electronic Library Online) · 2025
Typeother
Languagees
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)Domain (mathematical analysis)Subject (documents)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

RESUMEN La práctica basada en evidencia es crucial para mejorar la calidad del cuidado, la seguridad clínica y reducir los costos de atención sanitaria. Sin embargo, las(os) enfermeras(os) no están adecuadamente capacitadas(os) para aplicar esta práctica en sus decisiones clínicas, lo que hace necesaria su integración en los planes de estudio. El presente artículo describe la implementación de cinco guías elaboradas por la Registered Nurses' Association of Ontario (RNAO) de Canadá a través del Aprendizaje Basado en Problemas en la Escuela de Enfermería de la Universidad de Talca, Chile, en el año 2024.

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 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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.676
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0090.015
Science and technology studies0.0020.004
Scholarly communication0.0080.010
Open science0.0100.003
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0430.001

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 head0.009
GPT teacher head0.271
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueScientific Electronic Library Online (Scientific Electronic Library Online)French-language works237,207