Canada's Role in Global Uranium Market
Bibliographic record
Abstract
Over the past few years, the situation in the global nuclear energy industry has been described by the term "atomic renaissance". Nuclear energy is acquiring a special role in connection with the processes of digitalization and development of artificial intelligence, which are behind the growing demand for electricity and requirements for uninterrupted power supply. At the same time, for the United States and its satellites, the development of nuclear energy is not only an integral part of a large–scale technological race, but also a tool for ensuring energy security. It is fundamentally important for the collective West that its nuclear generation in the future can be fully provided with its own raw material base of uranium, primarily of Canadian and Australian origin. Canada ranks 2nd in the world in terms of uranium production and 3rd in terms of uranium reserves. In addition, a distinctive feature of a number of large Canadian uranium deposits are unique ores with the highest uranium content. Currently, Canada is declaring its ambitions to seize in the medium-term global leadership in the uranium market and become the privileged supplier of this raw material to the United States, EU member states, Japan and South Korea. In addition, Canada is interested in the absence of competition from Russia in the global uranium market and intends to make efforts not to cede its market share to the Russian side. At the same time, Ottawa is trying to restrict China's access to Canadian uranium resources by pursuing a policy of discrimination against Chinese uranium buyers and mining companies.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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".