Bibliographic record
Abstract
Prefatory Notes to the RoundtableArctic Collaboration Yoko Kamikawa By the late 2030s, the Arctic may be largely ice-free in the summers. Ongoing environmental changes in the Arctic, such as those resulting from climate change, both pose a significant threat to the ecosystems and livelihoods of the Indigenous peoples there and serve as a warning about the precariousness of the global climate system. Unfortunately, however, even as these changes are already underway, we still need more data about many aspects of the Arctic. For example, the International Agreement to Prevent Unregulated High Seas Fisheries in the Central Arctic Ocean, ratified in 2021, regulated commercial fishing in the region due to inadequate information about the fish species available. Thus, we need to collaborate with various stakeholders to ensure a sustainable Arctic. First, it is vital to deepen discussions and knowledge exchanges about the Arctic between nations through multilateral and serial events, including the Arctic Circle Forums, the meetings of the International Symposium on Arctic Research, the Arctic Frontiers conferences, and the meetings of the Arctic Encounter Symposium. Second, the efforts of Track 1.5 diplomacy—such as the Arctic Cooperation Seminar hosted by the Sasakawa Peace Foundation and the Asia Pacific Foundation of Canada that formed the basis for this roundtable—are also important. We need academics and think tank experts to act as knowledge brokers to facilitate information sharing between governments and the public and to promote evidence-based research about the Arctic in interdisciplinary fields. Finally, I would like to encourage more Arctic youth forums. Young people are future leaders and should take a proactive role in shaping global environmental issues. The Arctic region must embody international cooperation and be the "ocean of collaboration." Data sharing between the Arctic and non-Arctic nations is especially critical to facilitate scientific understanding and peace in the region. As Arctic affairs are shared issues for all humankind, non-Arctic states in Asia and elsewhere should be included in these critical dialogues. This inclusivity sends a powerful message under the theme of "knowledge for a sustainable Arctic" that can strengthen a functional and effective international cooperative system for the future. [End Page 2] Yoko Kamikawa Member, House of Representatives of Japan Chief Secretary, Parliamentary League of Arctic Frontier Study (Japan) Copyright © 2023 The National Bureau of Asian Research, Seattle, Washington
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 | 0.001 |
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 teacher head, 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".