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The Healthy Cities approach-- reflections on a framework for improving global health.

2003· article· en· W1957599487 on OpenAlexaboutno aff
Niyi Awofeso

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthEnthusiasmConventionPoliticsPublic relationsAction (physics)Health promotionEconomic growthSociologyPolitical scienceMedicineSocial sciencePsychologyLawNursingEconomics

Abstract

fetched live from OpenAlex

The roots of the Healthy Cities concept may be traced back to 1844, when the Health of Towns Association was formed in the United Kingdom to deliberate on Edwin Chadwick's reports about poor living conditions in towns and cities. The revival of those concerns in the public era dates from the Healthy Toronto 2000 convention in 1984 and, subsequently, the enthusiasm of the World Health Organization (WHO) Regional Office for Europe to translate its principles into a tangible global programme of action to promote health. WHO defines a Healthy City as that is continually developing those public policies and creating those physical and social environments which enable its people to mutually support each other in carrying out all functions of life and achieving their full potential. This philosophy seeks to enhance the holistic well-being of people who live and work in cities, based on four criteria: (a) explicit political commitment at the highest levels to the principles and strategies of a Healthy Cities project; (b) establishment of new organizational structures to manage change; (c) commitment to developing a shared vision for the city, with a healthy plan and work on specific themes; and (d) investment in formal and informal networking and cooperation. The concept is founded on the moral and political beliefs that inequalities in social conditions (and therefore health) are unjustified and that their reduction should be an overriding public health objective. While the entry point of the Healthy Cities approach is health, its underlying rationale has always been based on a model of good urban governance, which includes broad political commitment, intersectoral planning, citywide partnerships, community participation, and monitoring and evaluation. The Healthy Cities principles draw on various work on the social determinants of health, notably studies initiated by Thomas McKeown. However, its proponents rightly diverged from McKeown's overemphasis on the invisible hand of improved nutrition at the expense of various types of important social interventions, such as improvements in living and working conditions, public education, medical science, democratic governance, public health practices, and human rights. The International Healthy Cities Foundation partners are drawn from leaders in these sectors. The strategy also takes account of the increasing recognition of the complex effects of urbanization on health. Rapidly growing cities in Africa, Asia, and the Americas constitute the majority of the 300 cities with over one million inhabitants. While poor people in urban cities operate under the most life-threatening living and working conditions, their high concentration nevertheless provides opportunities for improving health: economies of proximity greatly reduce unit costs for provision of piped water, sewers, rubbish collection, immunization services, schools and public transport. Recent United Nations statistics estimate that, by 2007, more than half of the world's population will live in urban areas. Thus, Healthy Cities may be viewed as a set of public health strategies of potential benefit to more than half the people in the world. Now in its second decade, a number of important achievements have been attributed to this approach. For example, California's Healthy Cities and Communities programme, which began in 1987, has contributed significantly to improving the state's health profile through a multitiered strategy that includes technical assistance, funding, promotion, coordination and collaboration, systems reform, programme evaluation, and recognition. However, the effectiveness of Healthy Cities has largely been confined to industrialized countries, for a number of reasons. First, although its proponents acknowledge that conventional public health projects for the prevention or treatment of diseases did not adequately take account of health risks such as poverty, urban violence and terrorism, the predominantly functionalist health promotion framework within which the Healthy Cities approach operates makes it less likely to focus effectively on these underpinnings of unhealthy cities. …

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)0.020
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0130.049
Scholarly communication0.0230.023
Open science0.0040.031
Research integrity0.0170.022
Insufficient payload (model declined to judge)0.0070.001

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 head0.092
GPT teacher head0.352
Teacher spread0.260 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations41
Published2003
Admission routes1
Has abstractyes

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