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Record W7066616574

La Belgique et l’Europe dans la tourmente\nmonétaire des années 1970\nEntretiens avec Jacques van Ypersele = Belgium and Europe in the monetary turmoil of the 1970s. Conservations with Jacques van Yprsele. National Bank of Belgium Working Paper No. 314

2016· report· en· W7066616574 on OpenAlexaboutno aff

Bibliographic record

VenueArchive of European Integration (AEI) (University of Pittsburgh) · 2016
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPrime ministerNational bankMonetary systemEuropean Monetary SystemGermanMonetary policyQuarter (Canadian coin)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Jacques van Ypersele de Strihou is a discrete person but well-known in Belgian and international\npolitical and economic circles. After an outstanding academic career at the Universities of Namur,\nLeuven and Louvain and then at Yale in the United States where he gained a PhD, he started out\nhis professional life as an official at the International Monetary Fund. He then returned to Belgium\nwhere he held important posts in various Finance Ministers’ cabinets. He played a major role in\nEuropean and international monetary negotiations, notably in his capacity as President of the\nEuropean Monetary Committee when the European Monetary System was being set up. Later, as\nhead of Prime Minister Wilfried Martens’ cabinet, he was one of the architects of the 1982\ndevaluation of the Belgian franc. Discretion and modesty prevented Jacques van Ypersele from\ntalking about himself much. He took some convincing before agreeing to be interviewed. The end\nresult was these three interviews which took place at his home between June and October 2015\nwhich he re-read the following summer. We were also given access to his private archives, the\nsource of the documents published in the Annex.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.219
Teacher spread0.200 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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