Economic cooperation of Canada with the Asia-Pacific countries in the energy sector
Bibliographic record
Abstract
The article is devoted to an urgent problem of our time - the integration of Canadian energy markets into the energy markets of the Asia-Pacific region. Canada's economy is currently the 16th largest in the world in terms of GDP and is heavily dependent on international trade, whose prosperity is inextricably linked to external markets and the ability to access those markets. In turn, China, Japan, and South Korea are the world's largest importers of crude oil and liquefied natural gas. The study considers not only the reasons for the need of Canada's energy markets to enter the Asia-Pacific region, but also analyzes the dependence of the Canadian economy on the economy of the United States of America. The main conclusions of the study are the ways of integrating the energy markets of Canada and the Asia-Pacific countries. The built economic model of interaction should not only exist within the framework of the created legal acts but also should determine the importance of the formation of this economic institution for subsequent development. The work has increased relevance since joint development within the economic area creates a stable relationship, which can later be used for external use, within the framework of building a new type of economic model. Thus, the information acquires statistical value and can be used in further research. I believe that the purpose of this study was achieved by considering the economic cooperation of Canada with the ATP countries in the energy sector.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".