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Record W2169188167 · doi:10.1136/jech.2010.110437

Learning lessons from past mistakes: how can Health in All Policies fulfil its promises?

2010· article· en· W2169188167 on OpenAlexaboutno aff
Amaia Bacigalupe, Santiago Esnaola, Unai Martín

Bibliographic record

VenueJournal of Epidemiology & Community Health · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionCharterPublic healthHealth policyMedicinePublic relationsEmpowermentPopulation healthHealth educationSocial determinants of healthHealth equityCitizen journalismEquity (law)International healthEconomic growthPolitical scienceNursing

Abstract

fetched live from OpenAlex

The Ottawa Charter has exerted a great deal of influence on the public health debate and on health promotion practices over the last 25 years. The Charter shifted the main focus from individual risk behaviours to social determinants of health, and introduced innovative strategies such as participatory processes and empowerment of communities. This new public health era is based, essentially, on the introduction of health promotion to increase people's opportunities to make healthy choices. Building healthy public policies (HPP) is a core area, even an overriding concern for health promotion, as it seeks to put health onto the agenda of policy-makers across different sectors, to improve the conditions under which people live. HPP is concerned with equity, and has, by its nature, an intersectoral focus with an explicit interest in the impacts of all policies on the health of the population. It represents a reaction against the individualistic and victim-blaming approach of curative medicine and the excessive focus previously placed on health education.

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)0.040
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0400.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.015
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 head0.343
GPT teacher head0.556
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

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

Citations25
Published2010
Admission routes1
Has abstractyes

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