Strategic coupling, state capitalism, and the shifting dynamics of global production networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper critically evaluates the relationship between state capitalism and “strategic coupling” within global production networks (GPN). It underscores specifically the lack of cases on “coupling” involving state‐owned enterprises (SOEs) from developing countries and city‐regions within developed countries. Most existing studies focus on the connection between regions in developing economies with lead firms originating from developed economies. This leaves open a conceptual and empirical gap as SOEs from developing countries (like those of China and India) are (1) increasingly becoming lead firms in their own right and (2) investing in developed economies. Against this backdrop, this paper highlights conceptually significant points from the acquisition of Nexen, a Canada‐based oil and gas TNC, by CNOOC, a large Chinese SOE, and argues for a fresh research agenda that examines the strategic coupling of lead firms that are also SOEs from developing economies.
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.
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 | 0.000 |
| 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 | 0.001 |
| 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 it