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Record W3085733107 · doi:10.62607/smt.v97i3.38354

Politics, Policies, Practices and Outcomes: Despite Canada’s Reputation, the Nordic Nations are the Leaders in Health Promotion

2020· article· en· W3085733107 on OpenAlexaffabout
Dennis Raphael, Toba Bryant

Bibliographic record

VenueSocialmedicinsk tidskrift · 2020
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsOntario Tech UniversityYork University
Fundersnot available
KeywordsReputationPoliticsPromotion (chess)Political scienceHealth promotionPublic administrationPublic relationsEconomic growthLawHealth careEconomics

Abstract

fetched live from OpenAlex

Nordic nations’ public policy approaches to securing economic and social security for its members -- embedded within their tradition of social democratic governance – provide what the World Health Organization (WHO) initially termed the prerequisites of health, now known as the social determinants of health. In contrast, Canada, traditionally seen as providing leadership in developing health promotion concepts and practices, fares rather poorly against the Nordic yardstick. In this article, we argue it is now the Nordic nations that provide leadership in implementing policies and practices consistent with WHO principles of health promotion at the national, regional and municipal levels. These politics and practices – and the positive health outcomes associated with them -- derive from the distinctive politics of the Nordic welfare state. Nevertheless, threats associated with growing acceptance of neoliberal approaches to governance and anti-immigrant sentiment threaten these achievements. We review these developments from a Canadian perspective contrasting the Nordic public policy and health promotion scene with Canada to illustrate both the achievements and threats to the Nordic scene.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.676
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.150
GPT teacher head0.481
Teacher spread0.332 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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