Sea level rise impacts in coastal zones: Soft measures to cope with it
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
Normal 0 Sea level rise impacts are projected to cause multiple negative consequences in coastal zones such as coastal erosion, flooding, flood-related health problems, property damage and social-economic impacts. Thus, it is imperative to assess adaptation measures to minimize these devastating projections. Several responsive strategies to sea level rise (i.e. Retreat, Accommodate, Protect) have been developed. Within the Protect Responsive Strategy, ‘hard’ and ‘soft’ adaptation options have been widely implemented in coastal zones. This paper examines several ‘soft’ adaptation options (beach nourishment, dune restoration, afforestation and reforestation, and marine soft engineering technology), which provide interesting alternatives to address sea level rise in coastal zones. Advantages and disadvantages of these soft options are analyzed from an ecological and socio-economic perspective. The paper concludes with some proposed recommendations that could support soft structure approaches in coastal zone areas. Normal 0
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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