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Record W2563452204 · doi:10.1684/ers.2016.0921

Crafting health promotion: from Ottawa to beyond Shanghai

2016· article· en· W2563452204 on OpenAlexaboutno aff
Evelyne de Leeuw, Ben Harris‐Roxas

Bibliographic record

VenueUNSWorks (University of New South Wales, Sydney, Australia) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsCharterPromotion (chess)Political scienceHealth promotionPublic healthPublic administrationAction (physics)Call to actionPublic relationsEconomic growthMedia studiesMedicineSociologyNursingAdvertisingLawBusiness

Abstract

fetched live from OpenAlex

This year there are celebrations, around the world, of the 30th anniversary of the Ottawa Charter. We have seen similar celebrations five years (e.g., De Leeuw 2011, REFIPS 2012) and ten years ago (e.g., Baum 2007, Ridde, Guichard & Houeto 2007). The Charter remains visionary and inspirational, with a lasting legacy. But it has not delivered on its vision comprehensively. Two of its action areas stand out as having failed to show real evidence of success: the call to build healthy public policy, and the need to reorient health services for health promotion.\n\n‘Healthy Public Policy’ has now been replaced by ‘Health in All Policies’ (De Leeuw, Ståhl & Tang (2014). ‘Reorientation of Health Services’ still struggles. Both of these, in our assessment (de Leeuw 2017), suffer from the relative marginalisation of health promotion advocacy on the fringe of the mainstream medical-industrial complex. Clinical care and the pharma and biomedical technology sector continue to grow, while public health and health promotion remain on the resource and policy periphery. A partial solution to this challenge is for the global health promotion community to embrace a health political science (Bernier & Clavier 2011, Clavier & de Leeuw 2013). This would explain the political process for making choices in the public domain, and explicitly recognise issues of power, perception and trade-offs. \n\nThe world of 2016 is very different from the world of 1986. Socialist states and Marxism-Leninism have all but disappeared from the face of the earth. Globalisation and its neoliberal market dictatorship is now the dominant and virtually unchallenged ideology (Labonté 2016). Progress has been made but it has not been shared by all. Humanity as a whole is doing better, but differences between populations and groups persist and grow, in terms of health, well-being, wealth and life opportunities. Knowledge, information and entertainment are available everywhere and anytime, at mind-numbing speeds, qualities and quantities. The gap in the ozone layer may have closed, and acid rain disappeared, but they have been replaced by the seemingly unstoppable advent of the slow disaster of climate change. Rampant population growth and (often disaster-driven) mobility have led to an urban planet with hundreds of millions living in camps, slums and on the fringe. The ecosystem services that buffer hardships for these people – fresh air, clean water, food, fuel, building materials, and protection from flooding – are collapsing. \n\nAgainst this backdrop, the government of the People’s Republic of China with the World Health Organization is organising the Ninth Global Conference on Health Promotion in Shanghai in November 2016.\n\nIn this world - is the Ottawa Charter still relevant? Is the Shanghai Declaration on Health Promotion going to have the visionary and lasting impact the Charter had?

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)0.005
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 score0.941
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0180.011
Scholarly communication0.0200.007
Open science0.0020.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0350.005

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 head0.076
GPT teacher head0.284
Teacher spread0.208 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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