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Record W2996185694 · doi:10.3917/redp.314.0089

European Economics and the Early Years of the International Seminar on Macroeconomics

2021· article· fr· W2996185694 on OpenAlexaff
Aurélien Goutsmedt, Matthieu Renault, Francesco Sergi

Bibliographic record

VenueRevue d économie politique · 2021
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsUniversité du Québec à Montréal
FundersFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsHumanitiesInternationalizationPolitical sciencePhilosophyEconomicsInternational trade

Abstract

fetched live from OpenAlex

L’International Seminar on Macroeconomics (ISoM) est une conférence annuelle co-financée, pendant 15 ans (1978-1993), par l’EHESS et le NBER. Cet article expose les dynamiques institutionnelles et scientifiques sous-jacentes à cette coopération. Nous suggérons que les macroéconomistes rassemblés par l’ISoM contribuèrent grandement à la constitution d’un réseau européen d’économistes, partageant certains standards intellectuels et professionnels. Nous montrons que l’ISoM se situait au croisement de deux types d’« internationalisation » de l’économie : l’intégration au niveau européen des communautés de recherche nationales, ainsi qu’un processus d’« américanisation » de la discipline. Alors que la littérature existante sur l’« internationalisation » se concentre plutôt sur le niveau national, notre article étudie ce processus à l’échelle européenne. À cet égard, nous mettons en évidence le rôle clé joué par deux programmes de recherches en macroéconomie : la modélisation macroéconométrique à grande échelle et la théorie du déséquilibre.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.039
GPT teacher head0.205
Teacher spread0.166 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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".

Quick stats

Citations13
Published2021
Admission routes1
Has abstractyes

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