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Record W2144417280

The 7th WHO Global Conference on Health Promotion - Towards Integration of Oral Health, Nairobi, Kenya, 26-30 October 2009.

2010· article· en· W2144417280 on OpenAlexaboutno aff
Poul Erik Petersen, S.Y.L. Kwan

Bibliographic record

VenueCommunity dental health · 2010
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionMedicinePublic healthGlobal healthHealth policyEnvironmental healthEconomic growthPublic relationsNursingPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Since the first World Health Organization (WHO) Global Conference on Health Promotion (GCHP) that produced the Ottawa Charter for Health Promotion, subsequent GCHPs were held in different continents. It was Africa's turn to host the 7 th GCHP in Nairobi in October 2009, organised by WHO and Kenya Ministry of Health. The theme of the meeting was Promoting Health and Development: Closing the Implementation gap. It was the first time in the GCHP history that oral health received such a high profile and featured in one of the 12 special sub-plenary sessions. This report summarises the proceedings of the sub-plenary session on social determinants of oral health. Strategies for tackling social determinants of oral health and closing the implementation gap were considered, together with specific examples from developed and developing countries from different WHO regions. Oral health promotion implications were discussed based on public health experience and operational research. At the end of the session, input on oral health related issues was prepared for the Nairobi Call to Action adopted by the conference. In follow-up, the WHO Global Oral Health Programme contributes to the newly established WHO initiative Mainstreaming Health Promotion, which particularly seeks to build capacity in health promotion in low- and middle income countries. This work is carried out in support of the World Health Assembly Resolution (WHA60.17) on oral health.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.075
GPT teacher head0.398
Teacher spread0.324 · 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

Citations42
Published2010
Admission routes1
Has abstractyes

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