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Record W1589957109

The Dog that Would Never Bite? The Past and Future of the Stability and Growth Pact

2003· preprint· de· W1589957109 on OpenAlexaff
Martin Heipertz, Amy Verdun

Bibliographic record

VenueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · 2003
Typepreprint
Languagede
FieldEconomics, Econometrics and Finance
TopicGerman Economic Analysis & Policies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

'Das Papier analysiert die grundlegenden Bedingungen fuer das Zustandekommen des Stabilitaets- und Wachstumspakts (SGP) und seiner Entwicklung in den Folgejahren. Es werden oekonomische und politische Faktoren untersucht, insbesondere die Rolle wirtschaftspolitischer Vorstellungen und den Einfluss von Experten, Politikern, institutioneller Regelungen im Maastricht Vertrag, innenpolitischer Vorgaenge und die Sonderstellung Deutschlands im Bereich der Europaeischen Waehrungsunion. Die gemeinschaftlichen wirtschaftspolitischen Vorstellungen werden als notwendige Bedingung fuer die Schaffung des Paktes aufgefasst, und ihr Zusammentreffen mit einer entsprechenden machtpolitischen Spielkonstellation wird als dessen hinreichende Erklaerung verstanden.' (Autorenreferat)

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)0.003
metaresearch head score (Gemma)0.011
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.012
Scholarly communication0.0120.013
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.080
GPT teacher head0.336
Teacher spread0.256 · 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
GenreCommentary

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

Citations7
Published2003
Admission routes1
Has abstractyes

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