PRESIDENTIAL SYMPOSIUM: COLLABORATIVE URBANISM AND COPRODUCTION: GLOBAL PERSPECTIVES ON BUILDING AGE-FRIENDLY COMMUNITIES
Bibliographic record
Abstract
There are now over 300 members of the World Health Organization’s Global Network of Age-friendly Cities and Communities. The growth of the network since its establishment in 2010 has raised a variety of social, organizational and political challenges in respect of implementing the age-friendly approach. This symposium will develop a new framework for analyzing opportunities and barriers to implementing the age-friendly model in a variety of urban contexts in North America and Europe. The approach taken develops the concepts of ‘collaborative urbanism’ and ‘coproduction’ with older people, these highlighting the importance of partnerships between older people, families, and statutory and non-statutory organisations. This symposium brings together presentations from different social and cultural settings: (1) Chris Phillipson and Tine Buffel will provide a critical perspective on the development of age-friendly cities by exploring this approach in the context of urban processes affected by globalisation, urban regeneration and economic austerity. (2) Lindsay Goldman will examine recent developments in the implementation of Age-Friendly New York City, reviewing challenges associated with ownership, funding, and sustainability through political change and shifting priorities. (3) Samuele Remillard-boilard will compare age-friendly policies and initiatives in Manchester (UK), Montreal (Canada) and Brussels (Belgium), focusing on the challenges for developing age-friendly environments in socially and ethnically diverse cities. (4) Finally, Liesbeth De Donder and An-Sofie Smetcoren will reflect on the challenges and opportunities of using a co-construction approach in developing age-friendly communities in disadvantaged urban neighbourhoods in Belgium.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.013 | 0.017 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".