Bibliographic record
Abstract
In the first part of this study, the author brings out the need for an Arctic Region Council by examining what would be its main purposes. These would be to facilitate cooperation generally among its members and, in particular, with respect to the following matters: protection of the environment, coordination of scientific research, conservation of living resources, economic development, health and well-being of the Arctic inhabitants, and peaceful uses of the Arctic. The second part outlines the main reasons for the establishment of a Council by the conclusion of a treaty and presents the basic draft provisions of such treaty. These would cover: the geographical area of the Council's activities, the purposes of the Council, the conditions of membership, the main organs of the Council and their respective powers and mode of operation, the holding of meetings, the sharing of expenses, the settlement of disputes, the manner of entry into force, and the procedure of amendments and review. The founding Members of the Council would be the eight States whose territory projects north of the Arctic Circle: Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden and the United States. Membership would be open to non-Arctic States having demonstrated a sufficient interest in Arctic issues, as well as to certain non-State entities such as the Northwest Territories and Greenland, and non-governmental organizations such as the Arctic Aboriginal Conference.
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 | 0.043 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.023 |
| Scholarly communication | 0.020 | 0.016 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.040 | 0.028 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".