Bibliographic record
Abstract
For anyone who thought that there was nothing more to be said about the process of financial globalization, Capital Rules, by Rawi Abdelal, is an exciting read. In the book, Abdelal challenges the conventional wisdom that the liberalization of global capital flows is the result of US political and financial hegemony. In fact, he argues, it is Europe that led the way to the complete removal of capital controls on short-term capital flows in the late 1980s and early 1990s. Although he in no way neglects power politics, Abdelal is what many scholars of international relations would consider a constructivist. In Capital Rules, he aims to convince readers that a group of mainly French haut-fonctionnaires managed to establish a globally accepted social norm for capital liberalism. This norm replaced the norm of “embedded liberalism” that characterized the early decades of the post-World War II system of financial governance. In the late 1980s, according to Abdelal, the question became whether capital liberalism would be “ad hoc” (that is, market-driven with US support) or “managed” (that is, driven by international organizations like the European Union, the Organization for Economic Cooperation and Development [OECD], and the International Monetary Fund [IMF]).
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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".