Bibliographic record
Abstract
While many emphasize the supposed frictionlessness and instantaneity of global financial flows, economic geographers have done important work placing globalization in concrete practices and spaces. Yet, cross-border payment transactions, which are constitutive of transnational markets, remain understudied. In this paper, I use creditor litigation against Argentina as a lens through which to explore material geographies of transnational financial payments. This litigation sheds light on the fundamental role of law (especially US common law) in structuring most major payment transactions today. Payment “flows” are not continuous at all, but rather legally divided into discrete spatial segments—and remapping these divisions, via litigation, has become a focal point of struggle between creditors and debtors, as well as among financiers. Fierce debates over contracts and their interpretation have been central in these battles. Furthermore, these financial geographies remain inextricably entangled not only with business actors, but with legal and political actors as well—law anchors economic geographies in state spaces and (often contradictory) state interests at a variety of scales.
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".