Marine Protected Areas and Other Effective Area-based Conservation Measures
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
As the Earth’s changing climate has deepened into a climate crisis, the Arctic region has emerged as one of the clearest indicators of the scale and pace of that change. As the ice melts, opportunities are expanding to exploit the Arctic’s oil and gas reserves, precious metals, fish stocks and maritime routes. Increased access and development will inevitably generate “system-wide environmental impacts” and will pose novel management challenges for the Arctic states. In the quest to find an effective balance between competing ocean activities and actors, marine protected areas (MPAs) and other effective area-based conservation measures (OECMs) have emerged as indispensable tools to achieve ocean health, including in the Arctic. After first introducing these concepts, this article will discuss the Canadian and Russian domestic regimes for the establishment of MPAs and OECMs. The conclusion will then offer some insights into the key challenges confronting both states in the creation of effective networks of MPAs and OECMs in their Arctic regions.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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