Gods outside the Market: Central Banks, China and the Emergence of Neoliberal State Capitalism
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
Capitalism has always had to make use of contrivances from outside the realm of the market to compensate for structural problems of valorization. These “gods outside the market” have included the forced labour and slavery characteristic of the mercantilist era, as well as the scramble for colonies in the period leading up to World War I. With the anti-colonial movement and the closing off of external avenues to assist valorization, there have been moves to discover new “gods outside the market,” but internal rather than external to national states. The nationalizations of Fannie Mae and Freddie Mac are relatively “familiar” forms of such state intervention. Less familiar, but more important, has been the newly important role of central banks, using the expansion of their asset base (most familiarly but not exclusively through Quantitative Easing) to supply the liquidity which the market cannot. Together, these developments suggest two things: first, that neoliberalism in saving itself from the effects of the Great Recession has simultaneously transformed itself. I am suggesting the term “neoliberal state capitalism,” and second, that central to this process have been actions centred in China, actions too often seen as derivative and not constitutive of developments in the world economy.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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