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Record W9827502

Political Advocacy: Beliefs and Practices of Registered Nurses

2014· article· en· W9827502 on OpenAlexaff
Crystal D. Avolio

Bibliographic record

VenueHealth Physics · 2014
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPoliticsPolitical sciencePublic relationsNursingMedicineLaw
DOInot available

Abstract

fetched live from OpenAlex

Professional governing bodies of nursing have claimed that registered nurses have a responsibility to fulfill social mandate of political advocacy. Little is known about how nurses can accomplish this task. An exploratory, descriptive study (N=201) was undertaken to examine registered nurse's beliefs and practices regarding the concepts of politics and advocacy and secondly, to explore if nurses believe political activism to be a function of their advocacy role. Results suggest that nurses believe it is important to be politically active and report an interest in learning more about politics. The majority of nurses agreed that politics is the concern of nurses and agreed with the statement, "it is a duty of the nurse to be politically active" Despite these findings, nurses were only moderately active and just 30% of respondents stated that they were motivated to become more involved. Implications for nursing include personal and professional commitments, educational preparation in political science, democracy, policy analysis, and civic engagement, increased membership in professional organizations and workplace professional development in the political domain.

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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.102
GPT teacher head0.440
Teacher spread0.338 · 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 designObservational
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

Citations7
Published2014
Admission routes1
Has abstractyes

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