Mining and Colonialism in the Circumpolar North
Bibliographic record
Abstract
Writing in 1916, shortly after his appointment as ‘Geologist in Charge of Explorations’, the celebrated Canadian geologist and explorer Charles Camsell reflected on the prospects for development in Canada’s ‘unexplored’ Arctic: ‘It is to the mining industry more than any other that we must look for co-operation and assistance in the exploration of our northern regions.’ 1 Camsell hailed the prospects for mining to launch the transformation of remote, sparsely populated Arctic and Northern regions into prosperous, modern Euro-Canadian settlement frontiers. Nearly forty years later, reflecting on his geological career and the surge in mineral development activity in Canada’s north in the decades around World War II, Camsell confidently concluded, ‘To my mind the whole future of the North country depends primarily upon its mineral wealth.’ 2 Camsell’s visions of mining’s capacity for transforming the Arctic both echoes and anticipates the ideology of ‘frontierism’ characteristic of industry boosters and state agencies around the circumpolar Arctic.
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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 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".