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Record W3154838723 · doi:10.3928/00220124-20210315-05

Advancing Excellence in Community Health Nursing Through Evidence-Based National Standards of Practice

2021· review· en· W3154838723 on OpenAlexaboutno aff
Emily Belita, Ruth Schofield, Genevieve Currie, Marie Dietrich Leurer, Aliyah Dosani, Cheryl Cusack, Audrey Danaher, Katie Dilworth, Josephine Etowa, Françoise Filion, Cheyenne Joseph, Julia Lukewich, Jo-Ann MacDonald, Cheryl Reid‐Haughian

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2021
Typereview
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceCultural humilityIndigenousNursingDelphi methodCultural competenceNursing practiceMedicinePsychologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

Background: Current standards of practice are necessary to ensure safe nursing practice in Canada and across the world. This article aimed to describe and present findings from the rigorous review process undertaken to update the 2011 Canadian Community Health Nursing Standards of Practice. Method: A revision process included a scoping review of the literature, focus groups, and a modified Delphi method. Results: Through the inclusive consultation process, 495 community health nurses enhanced the content of the standards with respect to cultural safety, cultural humility, Indigenous health and ways of knowing, health equity, and evidence-informed practice. Conclusion: This comprehensive revision process can guide other nursing specialty groups developing or revising specialized practice standards in Canada and across the world. [ J Contin Educ Nurs . 2021;52(4):168–175.]

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)0.030
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.005
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 head0.103
GPT teacher head0.579
Teacher spread0.476 · 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 designOther design
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

Citations2
Published2021
Admission routes1
Has abstractyes

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