Investigating the impact of state-owned enterprises (SOEs) on the contemporary world order: a case of Chinese SOE investment in the Canadian hydrocarbon sector
Bibliographic record
Abstract
Chinese state-owned enterprises (SOEs) have become an important source of foreign direct investment (FDI) in resource-rich countries. Their expansion has stirred a debate in the Western hemisphere about the ability of SOEs to challenge liberal economic practices and to alter domestic governance in the countries where they invest. This paper contributes to this debate by examining the case of Chinese SOE investment in the Canadian hydrocarbon sector. It uses insights from the literature on the world order, international business, and international relations to examine the impact of SOE investment on a host country in the Western hemisphere. As I argue, the Canadian response to SOE’s investment has been on the cautionary side, which opens avenues for institutional innovation that leads to stricter regulations of SOEs’ FDI. As I propose, stricter regulations can be reinterpreted as an attempt to support liberal economic practices, yet may unintentionally have the opposite effect.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".