Bibliographic record
Abstract
Canada is in the midst of a massive transformation of the Arctic. Never before in recorded history have so many elements come together to literally redraw the face of the Arctic. The impact of climate change on the Arctic is perhaps the best known. Increasing global temperatures are causing the ice cover to melt. The resulting accessibility of the previously inaccessible Arctic Ocean has captured the world's attention. The Arctic is believed to contain vast amounts of untapped natural resources; in particular, some estimates suggest that the Arctic may have 30 percent of the world's undiscovered gas resources and 13 percent of its oil. Canada has already become the world's third-largest diamond producer on the basis of three mines in the Northwest Territories. A third major factor is a rapidly changing geopolitical environment. As the ice melts, and as expectations rise regarding the new mineral potential, both the circumpolar states and other members of the international community are increasingly looking to the Arctic as a new zone of opportunity. Whereas the previously inhospitable Arctic prevented operations in the region, this will soon be changing.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".