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Record W3208586091 · doi:10.4324/9780203842508-28

The gift of skepticism and the future of IPE

2010· article· en· W3208586091 on OpenAlexaboutno aff
Louis W. Pauly

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsSkepticismPoliticsGovernment (linguistics)Media studiesPolitical scienceSociologyLawManagementPhilosophyEconomics

Abstract

fetched live from OpenAlex

One fine morning in the fall of 1988, the telephone rang on my desk at the International Monetary Fund. ‘Strange here. I’m calling from the lobby.’ Recognizing her distinctive voice, I replied, ‘Susan Strange?’ ‘Yes, of course. Listen, I understand that you studied at the LSE a few years ago.’ ‘Yes, indeed. In the mid-1970s. I even attended your oversubscribed lectures on “The politics of international business” when you were a part-time instructor.’ ‘Can we meet?’ came the response from the now-distinguished professor. ‘When?’ ‘How about now?’ A few minutes later, my new mentor in international political economy (IPE) began her work by asking me question after question about what I was learning, whom I was meeting, and what we were all thinking. Between my first distant meeting with Susan Strange and this surprising second one, I had worked in the banking industry in Montreal, New York, and Toronto but then left to pursue doctoral studies in government at Cornell. It was there that I was re-introduced to Susan’s work and to that of the seven pioneers profiled in Benjamin J. Cohen’s (2008b) International Political Economy: An Intellectual History, all of whom I soon came to know personally. I also encountered the stimulating work of the other pioneer who would have earned an honored place in the pantheon of IPE if someone else had written the book, namely, Cohen himself. Many years later, my dissertation supervisor, Peter Katzenstein, distilled the summary lesson from all of these encounters in the term ‘analytical eclecticism’ – the pragmatic embrace of ontological and epistemological pluralism. Like others in this volume, with the exception of Bastiaan van Apeldoorn, Ian Bruff, and Magnus Ryner, I believe analytical eclecticism captures the essence of IPE and provides the key to the intellectual excitement that will attract the next generation of fine scholars to the field’s ‘Big Questions’, like the ones Robert Keohane highlights in this volume. In her own idiosyncratic way, Strange foreshadowed the idea of disciplined open-mindedness and modeled it in her own professional life. Borrowing Cohen’s organizing principle, one might discern the ‘magnificent seven’ tenets of Strange’s scholarly philosophy. First and foremost, focus on real-world problems and puzzles. Second, seek useful theories that are as elegant and parsimonious as possible. Third, use whatever methods seem appropriate to examine them – including time-tested techniques of good economists, sociologists, historians, and (although only Susan would say it outloud) good journalists. Fourth, subject theoretical hunches to ruthless skeptical scrutiny. Fifth, consider plausible alternatives. Sixth, draw out implications for future theory and, in order to stay grounded, for future policy. Seventh, write and speak about this entire process of discernment clearly and accessibly. The controversies spurred by Cohen’s book well exemplify the notion that analytical eclecticism of the kind Strange championed is far more prevalent in our field than many might believe. Unlike others in this volume, this leaves me quite optimistic about the future. The IPE tent is a large one, and most of us inside want to keep it that way.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.040
Scholarly communication0.0240.017
Open science0.0010.007
Research integrity0.0080.014
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.006
GPT teacher head0.194
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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