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Diseño de un curso de formación continuada en cuidados paliativos basado en competencias

2020· article· es· W2995869189 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

VenueEne · 2020
Typearticle
Languagees
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesContinuing educationPalliative carePhilosophyPolitical scienceMedicineNursing

Abstract

fetched live from OpenAlex

Resumen El objetivo de esta publicación es mostrar la estructura y contenidos de un curso de formación continuada en cuidados paliativos para enfermería. Se han empleado las últimas tendencias metodológicas en educación, y se ha tomado como referencia el modelo de competencias de la Facultad de Enfermería de la Universidad de Montreal. El resultado de la investigación ha conducido al diseño de un curso, del que los profesionales de la enfermería se pueden beneficiar para mejorar sus habilidades para el cuidado paliativo. Contemplar nuevos enfoques en la formación intermedia de cuidados paliativos en enfermería, frente a los viejos métodos de aprendizaje, proporciona una mayor integración de los modelos actuales, y promueve la calidad y la satisfacción asistencial en el contexto en el que se desarrollan.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.311
Teacher spread0.288 · 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