Bibliographic record
Abstract
Abstract The Faroe Islands is a key stakeholder in the Arctic region’s future; however, it is rarely discussed as being an “Arctic state”. This is problematic since belonging to this category carries a special degree of power, influence, and voice regarding Arctic issues. Realizing that Denmark is included as in the Arctic states category, along with Canada, Russia, United States and Norway, Finland, Iceland and Sweden, and further realizing that the Faroe Islands is a self-governing autonomous part of the Kingdom of Denmark, in 2022 Faroese policymakers felt it was necessary to publish a statement proclaiming the Faroe Islands as a partner in the Arctic region. This paper will illustrate the usefulness of a critical discourse analysis, given the fast-changing dynamics in the region. It also offers support for this small polity concern and elucidates emergent sites for potential exercise of power. Especially, because the region is warming, and the Arctic ice is melting at accelerating rates – freeing up access to rare-earth resources.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".