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Record W2991243071 · doi:10.3390/genealogy3040064

Vox España and Alternative für Deutschland: Propagating the Crisis of National Identity

2019· article· en· W2991243071 on OpenAlexaff
Robert O. Gould

Bibliographic record

VenueGenealogy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsCarleton University
Fundersnot available
KeywordsSovereigntyNational identityEuropean unionPolitical scienceBetrayalPoliticsPolitical economyState (computer science)Identity (music)LawSociologyInternational tradeBusiness

Abstract

fetched live from OpenAlex

This paper contains a comparative analysis of the presentation of the national identity of Spain and Germany by the far-right populist parties Vox España and Alternative für Deutschland. It shows how each party views national identity as being in a serious crisis arising from the betrayal by old-line parties which has led to the increased influence of the EU, the consequent reduction of national sovereignty, a deleterious impact on their own and on European culture, and a harmful influence on the family. The parties repudiate many of the provisions of the EU treaties. They are equally opposed to the presence of Islam in Christian Europe, viewing it as a menace to values shared by all European nations. These analyses lead to an examination of the performance of crisis by means of deliberate provocation and the use of electronic media. It shows how these parties from very different parts of Europe share remarkably close positions and use the technological achievements of the twenty-first century to attack the late-twentieth-century political and social achievements of the European Union in order to replace them with the nineteenth-century idea of the distinct ethno-cultural nation fully sovereign in its own nation-state.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0070.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.357
Teacher spread0.331 · 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 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

Citations35
Published2019
Admission routes1
Has abstractyes

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