Towards a just transition: enabling older populations to mitigate the impact of climate change and maintain wellbeing
Bibliographic record
Abstract
<b>Background and Objective:</b> The COVID-19 pandemic demonstrated the vulnerability of older adults through the number of excess deaths across the globe. However, this finding has also demonstrates the importance of building resilience in older communities and has shown the strength, and capacity of older people although this varies widely across geographies, and social and economic determinants. There is now a need to re-imagine a response to social and environmental challenges as experienced and perceived by older adult populations. The ‘just transition’ is a reference to systems thinking required to engage and enable older populations and communities to de-carbonise, contribute to greener living solutions and participate fully in sustainable development of communities and cities, especially in relation to digital technology as an enabler to health and wellbeing. AGE-WELL is a unique Canadian network that brings diverse stakeholders together to develop technologies and services for healthy aging and the Advanced Wellbeing Research Centre (AWRC) in the UK is developing implementation method focussed on population health, wellbeing, and reducing inequality and the impact of climate change. Combining expertise and experience of both these internationally reputable organisations and its members, the aim of the workshop is to identify capability and assets for further transformative learning and research that recognise the environment as a prerequisite to living well in old age and is based on UN Sustainable Development Goals and ecocentrism. <br/><b><br/>Methods:</b> This workshop will use appreciative inquiry [AI] to identify assets through questions and dialogue that help participants identify how older populations engage through their communities, organisations, or households to understand the causes and consequences of climate change. AI is based on a recognised process (the 4D’s model) to enable constructive critical thinking and clarity about opportunities for social and policy development. Reference will be made through different scenarios, to climate change and climate shocks in the global south and to variation in social and economic determinants that differentiate older adult circumstance and environmental impact. <br/><b><br/>Results: </b>The workshop will identify a ‘minimum-specification’; a vision and set of principles by which researchers and public health professionals will engage with older populations and to identify mechanisms and outcomes for environmental and social sustainability. This can related to a range of continuing participation in communities and households and user need including health and care services. The outcome of the workshop will be shared across participants’ networks and published as an implementation strategy for research that implements the ‘just transition’ for and with older adults. We hope to foster academic networking and further academic collaboration on digital and technological development for population wellbeing. <br/><b><br/>Conclusions: </b>The workshop aims to contribute to support transformative transdisciplinary research that enables implementation and informs planetary and public health and wellbeing. The focus on assets and whole systems approaches that promote inclusion and participation are aligned to the minimum requirements for the social and environmental determinants of health alongside clean air, safe drinking water, sufficient food and secure shelter in old age.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".