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 thematic issue analyzes recent and ongoing changes in Arctic regional governance in new geopolitical, security, and socio-economic contexts. It places current challenges in the Arctic within a historical context, aspiring to identify solutions, and enhances our understanding of modern processes. It presents three perspectives on Arctic regional governance: the first focuses on the challenges to Arctic environmental governance (marine living resources and Arctic seals); the second looks at the role of large nation-states, such as Russia and China, in Arctic regional governance; and the third one analyses the challenges posed to Indigenous people—in Russia, Finland, and Canada. Many overlapping themes are developed in the articles: historical lessons (e.g., from the Cold War period), challenges to the inclusiveness of environmental governance, and the role of cross-border diffusion and learning. New challenges to Arctic regional governance in the context of the war in Ukraine affect environmental governance, international scientific collaboration, and the lives of Indigenous people. Yet we know little about the depth of these recent transformations. This thematic issue aims to fill in at least some of the outlined gaps.
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 | 0.000 | 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 | 0.000 | 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