How Can Aging Communities Adapt to Coastal Climate Change? Planning for Both Social and Place Vulnerability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Coastal climate change in the form of rising sea levels and more frequent and extreme weather events can threaten community assets, residences, and infrastructure. This presents a particular concern for vulnerable residents—such as seniors aged 75 years and older. Our spatial study combines census area cohort population model projections, community asset mapping, and a municipal policy review with coastal sea rise scenarios to the year 2025–2026. This integrated information provides the basis to assess the vulnerability of our case study communities in Nova Scotia, Canada. Nova Scotia has the oldest population of any Canadian province, the majority of whom reside in coastal communities on the Atlantic, making it an ideal site for such analysis. Through this work we forward a useful decision-making support tool for policy and planning—one that can help coastal communities respond to the particular needs of seniors in rural areas and adapt to impacts of coastal climate change. Throughout we argue that social vulnerability must be considered alongside place vulnerability in the design of climate change adaptation and mitigation efforts. This is not just an issue for coastal communities, but for all communities facing the effects of extreme weather events.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it