Remaking Arctic governance: the construction of an Arctic Inuit polity
Bibliographic record
Abstract
This article focuses on the construction of the Inuit Circumpolar Conference (ICC), the aim being to offer the historical context within which the ICC came to serve as a significant voice for Arctic policy making and as a representative of Inuit peoples in general. It explores the role of the ICC in relation to the domestic, regional, and international political events taking place during its formative years in order to provide the basis through which the ICC came to be a political authority in the Arctic. While the main coalescence of events was around the theme of Arctic resource development, each event significantly helped lay the foundation for, and structures under which, Arctic policy would proceed into the future. This includes a changing Arctic narrative that has transformed the Arctic from a being a region concentrated on resource extraction and Cold War security into a region serving as a symbolic pinnacle for global sustainable development. Through the expanded political agency of the ICC and an international focus on the Arctic, a vision of the Arctic has emerged under which it is defined by its natural environment and by the indigenous peoples who inhabit this space. This is an INDIPO project paper (Tennberg 2006).
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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.022 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".