Expected levels of sectoral economic integration: implications of the BRI project for resource-rich countries
Bibliographic record
Abstract
This study investigates the expected levels of sectoral economic integration resulting from the Belt and Road Initiative (BRI) in two emerging resource-rich host countries (Kazakhstan and Russia). It also investigates the expected levels of integration in two advanced resource-rich countries (Australia and Canada) and two technology-rich countries (Germany and China). This study explores factors that may affect the design of the policies that the governments of these countries used to implement to restrict or support investments in critical industries, including infrastructure and digital technologies. It adopts a qualitative research design based on 30 interviews and secondary data sources from six countries. We suggest that BRI-driven Foreign Direct Investment (FDI) in critical industries may result in economic integration at the industry level. Through economic integration based on the internationalisation of Chinese companies, resource-rich countries can develop new industries and therefore diversify their economies.
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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 | 0.000 | 0.000 |
| 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".