Constructing the International Economy
Bibliographic record
Abstract
Focusing empirically on how political and economic forces are always mediated and interpreted by agents, both in individual countries and in the international sphere, Constructing the International Economy sets out what such constructions and what various forms of constructivism mean, both as ways of understanding the world and as sets of varying methods for achieving that understanding. It rejects the assumption that material interests either linearly or simply determine economic outcomes and demands that analysts consider, as a plausible hypothesis, that economies might vary substantially for nonmaterial reasons that affect both institutions and agents' interests. Constructing the International Economy portrays the diversity of models and approaches that exist among constructivists writing on the international political economy. The authors outline and relate several different arguments for why scholars might attend to social construction, inviting the widest possible array of scholars to engage with such approaches. They examine points of terminological or theoretical confusion that create unnecessary barriers to engagement between constructivists and nonconstructivist work and among different types of constructivism. This book provides a tool kit that both constructivists and their critics can use to debate how much and when social construction matters in this deeply important realm. Contributors: Rawi Abdelal, Harvard Business School; Jacqueline Best, University of Ottawa; Mark Blyth, Brown University; Mlada Bukovansky, Smith College; Jeffrey M. Chwieroth, London School of Economics; Francesco Duina, Bates College; Charlotte Epstein, University of Sydney; Yoshiko M. Herrera, University of Wisconsin–Madison; Paul Langley, Northumbria University; Craig Parsons, University of Oregon; Catherine Weaver, University of Texas at Austin; Wesley W. Widmaier, Saint Joseph's University; Cornelia Woll, CERI-Sciences Po Paris
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".