Bibliographic record
Abstract
This article concerns Chinese energy relations with Kazakhstan and Russia, surveying the foreign direct investment (fdi) behavior of Chinese National Oil Companies (nocs) in Kazakhstan and Russia. The first section provides a schematic overview of the general development of Chinese fdi strategy and behavior from the disintegration of the Soviet Union up until the present day. It systematically explains how that development occurred in three phases and gives some key indicators for distinguishing among the phases and the transition between successive phases. The second section looks more closely at the fdi strategy and behavior of the Chinese nocs specifically regarding Kazakhstan and Russia, periodizing it according to the first two of the three chronological phases distinguished in the first section. The third section of the article examines still more closely the phenomenon regarding Kazakhstan and Russia from the end of the last decade up until the present day, dividing the third above-mentioned phase into three subphases and inspecting the first two, of which the second is still ongoing. The fourth section of the article evaluates the conduct of Chinese nocs with regard to Kazakhstan and Russia from the standpoint of motives of corporate behavior and comparative incentive structures. The fifth section of the article concludes by introducing some caveats on the basis of a glance at recent behavior with respect to another large resource-rich country, Canada, where Chinese nocs have made massive fdi for some years now, but which has a rather different economic and social structure from Kazakhstan and Russia. The last section of the conclusion also includes a few final comments on the prospects for Chinese energy and Chinese nocs during the remainder of the decade and into the 2020s, on the basis of the analytical framework employed to structure the narrative analysis in the body of the article.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".