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Record W39499395

Advocating healthy public policy: implications for baccalaureate nursing education.

2000· article· en· W39499395 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.

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPublic healthPublic policyHealth policyPublic health nursingRelevance (law)NursingHealth educationNurse educationPolitical sciencePopulationPolicy advocacyHealth promotionPublic relationsMedicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Advocating healthy public policy is increasingly recognized as an essential strategy for enhancing the health of populations. The purpose of this paper is to discuss the implications this priority area portends for the educational preparation of public health nurses (PHNs). Population health is central to public health nursing, and as such, it is imperative that PHNs employ policy advocacy strategies to influence positively the determinants that affect the health of populations. In this paper, we introduce the concept of healthy public policy and its relevance for public health nursing and baccalaureate nursing education. We outline substantive content areas that are fundamental to policy advocacy, such as determinants of health and their interrelationships, the policy process, and theoretical frameworks consistent with a socioenvironmental approach to health. In addition, we detail examples of specific learning experiences that provide students with opportunities to apply the content. Some of these activities include analysis of a population health issue, developing a position paper or resolution, writing letters to policy makers and the media, and working with lobbyists and policy makers.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.066
GPT teacher head0.362
Teacher spread0.296 · 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