Fostering resilience in coastal communities in the context of climate change
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
Global coastal communities are facing uncertainty and change from a number of different sources including economic challenges, changing demographics or public policy negligence. A changing global climate adds additional complexity. The tourism and fisheries sectors, often sources of employment in coastal communities, are facing changing natural systems and increasing pressure on supporting infrastructure. This is due to a warming ocean and increases in the frequency and intensity of storms leading to accelerated erosion, storm surges and flooding. Building resilience and adaptive capacity in such social-ecological systems, in the context of change, involves learning to live with change and uncertainty, fostering exchange of knowledge, and taking advantage of the opportunities for renewal. In its initial phases the Partnership for Canada-Caribbean Community Climate Change Adaptation (ParCA) research sought to integrate scientific and local knowledge to understand the multi-scale socioeconomic, governance and environmental conditions that shape vulnerability and capacity to adapt to climate change. Associated community visioning processes and design charrettes build on community assets to develop and evaluate local adaptation options that address community needs and cultural values. In its final phase it is seeking to mobilize knowledge to foster resilience to change in coastal communities.
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.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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