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Record W2168987957 · doi:10.1177/2158244014560534

Nursing Professional Organizations

2014· article· en· W2168987957 on OpenAlexaff
Cristina Catallo, Karen Spalding, Roya Haghiri‐Vijeh

Bibliographic record

VenueSAGE Open · 2014
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInclusion (mineral)NursingPoliticsProfessional associationPolitical actionProfessional developmentPolicy developmentHealth policyPublic relationsAction (physics)MedicinePolitical sciencePsychologyMedical educationPublic administrationPublic health

Abstract

fetched live from OpenAlex

Nurses have great potential to contribute to the development of health policy through political action. We undertook a systematic website review of international- and national-level professional nursing organizations to determine how they engaged registered nurses in health policy activities, including policy priority setting, policy goals and objectives, policy products, and mechanisms for engaging nurses in policy issues. We reviewed 38 organizations for eligibility and 15 organization websites met our inclusion criteria. Six professional nursing organizations had comprehensive websites with a discussion of specific policy goals and objectives, policy-related products and mechanisms for nurses to become engaged. Future research is needed to evaluate how nursing professional organizations establish policy priorities and to evaluate the effectiveness of the strategies used to politically engage nurses.

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)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0840.036

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 head0.029
GPT teacher head0.363
Teacher spread0.334 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations26
Published2014
Admission routes1
Has abstractyes

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