Governance and the coastal condition: Towards new modes of observation, adaptation and integration
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
The conceptual framework of evolutionary governance theory (EGT) is deployed and extended to rethink the idea of coastal governance and the possibilities of a coastal governance better adapted to challenges of climate change and intensified use of both land and sea. ‘The coastal condition’ is analysed as a situation where particular modes of observation and coordination were possible and necessary, and those observations (and derived calculations of risk and opportunity) are valuable for the governance of both land and sea. An argument is constructed for a separate arena for coastal governance, without erasing the internal logic of pre-existing governance for land and sea. This entails that coastal governance is destined to be a place of (productive) conflict, as much as of policy integration. Policy integration will be more difficult and more important in coastal governance, as this is an arena where the effects of many land based activities and activities at sea become visible and entangled. Policy integration in coastal governance does, however, require deep knowledge of the governance path and existing forms of integration there (e.g. in planning), and it exists in an uneasy tension with the requirements of adaptive governance. This tension further contributes to the complexity and complex-prone character of coastal governance. Neither complexity nor conflict can be avoided, and coastal governance as an image of balanced decision-making is (positively) presented as a productive fiction.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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