The international political economy of money, macro-money theories and methods
Bibliographic record
Abstract
The 2008 financial crisis exposed the fragility of advanced economies to financial caprice and the centrality of the United States in the global monetary order. Understanding the power structures behind global monetary orders, their distributional effects, as well as the systemic consequences associated with practices within domestic financial systems, particularly within financial centres, remains a priority. In a recent commentary, Cohen argues that the field is fragmented and that excessive attention to social scientific method is to blame. I agree with Cohen that the field of international political economy (IPE) of money is fragmented but I disagree that social scientific method is the cause. The fragmentation, and slow progress in the IPE of money, to which Cohen refers, is rather attributable to a lack of social scientific method, resulting in conceptual and empirical ambiguity, and unclear standards. Finally, I outline how social science methods could produce the kind of systemic analysis Cohen is calling for, ‘macro-money theories’, the flip side of the ‘micro-money theories’ embodied by open economy politics.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".