‘The Deepest and Most Rewarding Hole Ever Drilled’: Ice Cores and the Cold War in Greenland
Bibliographic record
Abstract
Summary The recovery of the Camp Century deep ice core in 1966 – the first ice core to reach all the way through a polar ice sheet to bedrock – marked a shift from an era of United States military dominated glaciological research in Greenland to an era of climate oriented research on the island. This paper aims to provide an understanding of this shift. I show that the Camp Century ice core was at the heart of a complex blend of environmental, military and scientific interests. By deconstructing these interests, I ultimately show that the island of Greenland underwent two reimaginings during the early Cold War. First, the island was reimagined as part of the US Cold War military sphere: driven by the need to secure the North American continent, the US established a hegemonic military colonization of Greenland. In the second reimagining of the island, environmental geography led the way: the scientific results of the Camp Century ice core and political concern about climatic change converged in the early 1970s to build Greenland into a unique location for pursuing research on climate questions. This paper adds to the literature by contextualizing the Camp Century ice core at the interface between the history of science, environmental history and Cold War history, and thereby illuminating Greenland as a dual geopolitical entity and environmental space. By highlighting the interaction of climatic change, geophysical sciences and national security narratives, it responds to recent historiographic calls to unite a set of narratives which, too often, talk past one another.
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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 | 0.005 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".