The political economy of Chinese internet companies: Financialization, concentration, and capitalization
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
The rapid growth of the internet in China has been propelled by the Chinese government’s push to develop the country’s information infrastructure and its tight control over the internet. The most recent stage of internet development in China, however, has been driven by a three-way dynamic between the State, internet companies, and international finance capital. This relationship has yielded three internet giants—Baidu, Alibaba, and Tencent—that stand at the apex of the internet economy in China. They also rival their US counterparts like Google, Facebook, and Amazon, on several key measures. We examine annual reports and other financial documents to better understand these three companies’ character as ‘capitalist enterprises’ and the tight nexus that links them to international investment banks, venture capital funds, and other foreign investors. While these processes are now fundamentally shaping ‘the Chinese internet’, they have not yet been adequately explored in the scholarly literature, we argue.
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 | 0.000 | 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 | 0.001 |
| 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 it