Bibliographic record
Abstract
China is a “Near Arctic State” with national interests in Arctic resources, shipping lanes, and regional governance. That was the message delivered to the world in China’s new Arctic policy. The philosophy espoused in this White Paper is one of cooperation and mutual profit – what the Chinese have dubbed “win-win” polar partnerships. These partnerships have been expanding in recent years. Tens of billions of dollars in Chinese capital has flowed into oil and gas projects in Siberia and the Russian Arctic offshore, new shipping routes are being tested, and state-owned mining companies have acquired rich mineral deposits in Greenland and – to a lesser extent – Canada. These resources, and the sea lanes that connect them, have been labelled the “Polar Silk Road,” a maritime trade and shipping route supported by Chinese infrastructure spending running through the Northwest Passage and other circumpolar channels. China’s increasingly confident posture in the North represents real opportunities – and challenges – for Canada. Managed property, Chinese money can support the decades old Canadian dream of developing the Northwest Passage as a useable sea route, decreasing shipping costs, supporting development and improving the quality of life for Arctic residents. Managed incorrectly, Chinese activity might leave the Asian power with a degree of de facto control over the Arctic, damaging Canadian sovereignty and imperiling the country’s ability to manage this increasingly important region on Canadian terms. This new White Paper is as clear a signal as can be sent that China is coming into the Arctic with long-term strategic ambitions. Canada should not fear this development, but it must be prepared for it.
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.030 | 0.009 |
| Scholarly communication | 0.027 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".