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Equity, social determinants and public health programmes - the case of oral health

2011· article· en· W2154110051 on OpenAlexaboutno aff
Poul Erik Petersen, Stella Kwan

Bibliographic record

VenueCommunity Dentistry And Oral Epidemiology · 2011
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsSocial determinants of healthHealth promotionPublic healthMedicineHealth equityHealth policyInternational healthHealth careEconomic growthEnvironmental healthNursingEconomics

Abstract

fetched live from OpenAlex

The WHO Commission on Social Determinants of Health issued the 2008 report 'Closing the gap within a generation - health equity through action on the social determinants of health' in response to the widening gaps, within and between countries, in income levels, opportunities, life expectancy, health status, and access to health care. Most individuals and societies, irrespective of their philosophical and ideological stance, have limits as to how much unfairness is acceptable. In 2010, WHO published another important report on 'Equity, Social Determinants and Public Health Programmes', with the aim of translating knowledge into concrete, workable actions. Poor oral health was flagged as a severe public health problem. Oral disease and illness remain global problems and widening inequities in oral health status exist among different social groupings between and within countries. The good news is that means are available for breaking poverty and reduce if not eliminate social inequalities in oral health. Whether public health actions are initiated simply depends on the political will. The Ottawa Charter for Health Promotion (1986) and subsequent charters have emphasized the importance of policy for health, healthy environments, healthy lifestyles, and the need for orientation of health services towards health promotion and disease prevention. This report advocates that oral health for all can be promoted effectively by applying this philosophy and some major public health actions are outlined.

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)0.023
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.028
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0070.045
Scholarly communication0.0110.009
Open science0.0010.012
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0060.000

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 head0.335
GPT teacher head0.485
Teacher spread0.150 · 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 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

Citations251
Published2011
Admission routes1
Has abstractyes

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