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Record W2796838010 · doi:10.1080/10758216.2018.1445973

Discursive Opportunities for the Estonian Populist Radical Right in a Digital Society

2018· article· en· W2796838010 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProblems of Post-Communism · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Toronto
FundersEesti Teadusagentuur
KeywordsPopularityEstonianNarrativePublic sphereSocial mediaPoliticsPolitical scienceRadical rightBlogosphereThematic analysisVisibilitySociologyMedia studiesPublic relationsGender studiesSocial scienceQualitative researchLawThe InternetGeography

Abstract

fetched live from OpenAlex

This article analyzes the discursive opportunities, narratives, and dominant themes used by the Conservative People’s Party of Estonia (EKRE), a new populist radical right party, to achieve increasing visibility. Applying thematic analysis of EKRE’s social media content, we identify four main groups of issues that have formed the mainstay of EKRE’s political communication and framed the narrative that social media channels have disseminated: an anti-Russian stance, Euroskepticism, promotion of family values, and an anti-refugee discourse. We conclude that EKRE has successfully capitalized on specific conditions in the public sphere to increase its popularity.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.314
Teacher spread0.259 · 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