Current Information Provision Rarely Helps Coastal Households Adapt to Climate Change
Bibliographic record
Abstract
Households play an important role in reducing coastal vulnerability through individual and collective action. Information provision is a key strategy adopted by governments to support household adaptation. However, there is limited evidence of the effectiveness of the different types of information and their influence on coastal household response. Drawing on case study research in two Australian coastal communities, we explore the types of information shaping household responses to three hazard scenarios: a heatwave, a severe storm, and sea-level rise. We find that passive information informs action in fewer than half of all households. Furthermore, even current attempts at more action-oriented information only informs coping strategies. If coastal adaptation is to achieve the transformational changes vital to manage the impacts of climate change, information provision must transition from passive and generic delivery via traditional modes, to actively communicating adaptation as the ‘glue’ between hazard management and household resilience through context-relevant and household-driven communication modes. Further research into the types of information that promote more-than-coping responses, such as information to facilitate collective action, is also recommended.
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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 | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".