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Record W3084426360 · doi:10.1177/0844562120945892

A Century of Political Influence: The Evolution of the Canadian Nurses Association’s Policy Advocacy Agenda

2020· article· en· W3084426360 on OpenAlexaffvenueabout
Patrick Chiu, Michael Villeneuve, Pauline Paul

Bibliographic record

VenueCanadian Journal of Nursing Research · 2020
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsCanadian Nurses AssociationUniversity of Alberta
Fundersnot available
KeywordsPoliticsAssociation (psychology)Political sciencePublic administrationLawPsychology

Abstract

fetched live from OpenAlex

The Canadian Nurses Association has a long-standing history of strengthening the nursing profession and the health system, supporting professional practice, and advocating for healthy public policy at the local, national, and global level. Historical writings have typically focused on the significant milestones achieved throughout the past century, and the various social, political, and economic contexts that have shaped the evolution of the association. While historical sources illustrate an organization with a strong track record of policy advocacy leadership and presence, there is little literature that has examined how the association's policy advocacy agenda has evolved overtime. Using Shamian's emerging "Bubble" Theory and Spheres of Policy Influence Model as an analytical framework, the authors use historical archives and documents to examine the internal and external drivers that have shaped the association's policy advocacy agenda over the past century and conclude that the Canadian Nurses Association has established itself as a credible leader in shaping not only nursing but also health-care and public policy at the local, national, and global level.

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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.080
GPT teacher head0.411
Teacher spread0.331 · 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 teacher head, not a consensus.

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

Citations5
Published2020
Admission routes3
Has abstractyes

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