Managing marine resources sustainably – Ecological, societal and governance connectivity, coherence and equivalence in complex marine transboundary regions
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
This overview proposes a novel typology of characteristics required to ensure that marine assessment and management is connected, coherent and/or equivalent across boundaries, both within or between national and international jurisdictions. This defines the types of connectivity, coherence nature and equivalences with their relevance and examples in a marine transboundary context. It indicates the way of identifying impediments to be addressed to ensure that the management across marine boundaries is sustainable and adequate, and it also gives examples of the way of overcoming those barriers. The typology covers natural environmental, governance (policies, politics, administration and legislation), economic and management regimes. It encompasses sector (e.g. fishing, navigation, etc.) and their activity-, pressures-, effects- and management response-footprints and Maritime Spatial Planning and Marine Protected Area-designation. This links monitoring, assessment and reporting across boundaries and within the physico-chemical and ecological realms and in marine conservation across boundaries. Finally, it shows connectivity, coherence and equivalence should reflect wider societal and cultural aspects as well as governance approaches, principles and outcomes in adjacent countries (States) and regions. These aspects are summarised by analysing the so-called 10-tenets for sustainable and successful marine management. Although this typology is developed largely from a European and North America perspective, it is proposed here for validating with examples in other areas worldwide.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.015 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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