Bibliographic record
Abstract
Somewhat buried in Part VI, “Continental Shelf”, of the 1982 United Nations Convention of the Law of the Sea, article 82(1) sets out that: “The coastal State shall make payments or contributions in kind in respect of the exploitation of the non-living resources of the continental shelf beyond 200 nautical miles….” Article 82 (4) directs that: “The payments and contributions shall be made through the Authority, which shall distribute them to States Parties to the Convention, on the basis of equitable sharing….” To date, there has not been any commercial exploitation of the non-living resources of shelf beyond 200 nautical miles, meaning that no payments have been made or become due pursuant to article 82. There have been a number of workshops that have looked at article 82, including one sponsored by ISA, held in Beijing. There have also been a number of reports commissioned and issued by ISA. While still some period off, given the current exploratory activity adjacent to Canada’s Atlantic coast, Canada is highly likely to be the first State to be directly engaged with article 82. As recently as July 2018, Canadian media ran stories on “footing the bill” for these payments. This paper will focus on the role(s) of ISA as regards article 82.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.087 | 0.040 |
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".