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Record W4391282586 · doi:10.1080/14635240.2024.2308373

The politics of health promotion: channelling our anger and our hope for the wellbeing of people, place and planet

2023· article· en· W4391282586 on OpenAlexaboutno aff
Mark Dooris

Bibliographic record

VenueInternational Journal of Health Promotion and Education · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsChannellingAngerPoliticsPlanetPromotion (chess)PsychologySociologySocial psychologyPolitical sciencePhysicsAstronomyLaw

Abstract

fetched live from OpenAlex

With the Institute of Health Promotion and Education turning 60, it is timely to reflect on health promotion’s journey. While health promotion can celebrate many advances, much remains to be done. This paper considers the enormous challenges we face and how we might move forward by working not only within, but beyond, the five action areas of the Ottawa Charter: engaging creatively with the opportunities offered by the changing contexts in which we operate, for example in relation to integrated care systems and place-based partnerships; learning from our experience of COVID-19 to ensure joined-up whole system responses that nurture the transformative change necessary to ‘build back better’ for a sustainable and healthy future; and advocating a new economic vision and model that rejects economic growth as an end in itself and refutes the assumption that such growth will automatically result in improved population and planetary health. Health promotion is inherently political. Reflecting on the UK’s current situation – with spiralling child, food and fuel poverty, flatlined/reduced life expectancy, increased inequalities, and the ongoing failure of government to take on powerful vested interests through legislative, regulatory and fiscal measures – we face a crisis. However, a crisis represents not only danger, but also a potential turning point. This should motivate the health promotion workforce to harness and channel its righteous anger; and give space for active hope that we – as citizens, professionals and members of families and communities – can envision, advocate and fight to secure the wellbeing of people, places and the planet.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.800
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.088
GPT teacher head0.398
Teacher spread0.310 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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