The politics of Arctic international cooperation: Introducing a dataset on stakeholder participation in Arctic Council meetings, 1998–2015
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
Contemporary Arctic transformations and their global causes and consequences have put international cooperation in the Arctic Council, the region’s most important forum for addressing Arctic affairs, at the forefront of research in Northern governance. With interest in Arctic regional affairs in world politics being at a historical high, the actual participation and contribution by interested actors to regional governance arrangements, such as the Arctic Council, has remained very much a blind spot. This article introduces and analyses a novel dataset on stakeholder participation in the Arctic Council (STAPAC) for all member states, Permanent Participants and observers in Ministerial, Senior Arctic Officials’ and subsidiary body meetings between 1998 and 2015. The article finds that participation in the Arctic Council varies significantly across meeting levels and type of actors, and that new admissions to the Council, a source of major contestation in recent debates, do not necessarily result in more actors attending. The article further discusses these findings in light of three prevalent debates in Arctic governance research, and shows the empirical relevance of the STAPAC dataset for the study of Arctic cooperation and conflict, observer involvement in the Arctic Council system and political representation of indigenous Permanent Participants.
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 | 0.002 |
| 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