Mining for Greenlandic self-government: Fractal islands in the Anthropocene
Bibliographic record
Abstract
This article explores the emergence of Greenland as an Anthropocene island through anthropological fieldwork in and around the decommissioned Nalunaq goldmine in the south of the country. The article takes off from the idea that Anthropocene activities are characterized by the invention, movement, and marketing of seemingly mobile resource units that can be identified and invested in regardless of landscape specificities, and explores how the production of Greenlandic gold complicates this idea of extraction. In particular, the article discusses how Greenlandic post-colonial independence and ambitions for mining both go together and undermine each other, creating new dependencies and relationalities along the way. Through analyzing parts of Nalunaq’s political context, infrastructural challenges, the gold that came out, and eventual closure, the article presents Greenlandic gold mining as a set of partly congruous, partly contradictory practices and ideas. The article thus specifies an extractive project that both is and is not possible on the world’s biggest island, and brings this to bear on how we might understand the Anthropocene.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".