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Record W3000652747 · doi:10.1177/0020702019896299

France’s <i>déclassement</i> in the Eurozone

2019· article· en· W3000652747 on OpenAlexaff
Philip Giurlando

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsTrent University
Fundersnot available
KeywordsHumiliationPoliticsFeelingPower (physics)Political scienceForeign policySocial psychologyPolitical economyPsychologyPositive economicsSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

In France, the adoption of the euro was partly motivated by the desire for equality with Germany, but asymmetry has increased in terms of economic prowess and international status, leading to a sense of déclassement. This paper identifies links between France’s status reduction, a consequent feeling of humiliation, and the foreign policy positions associated with that collective emotion. Evidence of France’s déclassement includes macroeconomic trends, semi-structured interviews with a sample of elites, the secondary literature, and the domestic political disputes that have emerged as a result of this reduction of national status. The paper also systematically compares France to Italy, as in many ways it is similar to that country, but with one key difference: the political forces which have been loudest about Italy’s humiliation vis-à-vis Germany obtained power and governed from May 2018 to August 2019. Their orientations and positions provide a peek into the kinds of international political decisions associated with both déclassement and humiliation, and provide further evidence on the links between status reduction, group-level emotion, and inter-group behaviour.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.306
Teacher spread0.299 · 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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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Same venueInternational Journal Canada s Journal of Global Policy AnalysisSame topicEuropean Union Policy and GovernanceFrench-language works237,207