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Record W4378651955 · doi:10.1177/00438200231176818

THE REPUBLICAN TRUMP VOTER

2023· article· en· W4378651955 on OpenAlexaff
Kofi Arhin, Daniel Stockemer, Marie‐Soleil Normandin

Bibliographic record

VenueWorld Affairs · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Ottawa
FundersKonrad-Adenauer-Stiftung
KeywordsPopulismRadical rightRight wingIdeologyPolitical sciencePolitical economyImmigrationRhetoricLawLaw and economicsSociologyPoliticsPhilosophy

Abstract

fetched live from OpenAlex

With its emphasis on anti‐immigration rhetoric and actions, protectionism, as well as populism, Donald Trump has transformed the Republican Party into a party that closely resembles populist radical right‐wing parties in Europe. In this article, we first illustrate how the Republican Party has transformed into a radical right‐wing party. Second, we examine the degree to which the Trump voter has the same or similar characteristics as the prototypical radical right‐wing voter. To do so, we compare some key features of voters for the Alternative for Germany (AfD) and Trump voters. Through original survey research, we find that the two voter types are alike. Both AfD and Trump voters espouse anti‐immigrant sentiment, reject globalization, and position themselves on the right on a left‐right ideological scale. This implies that, both from a supply and demand side perspective, the Trump Republican Party has become a prototypical radical right‐wing party.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

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 studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.025
GPT teacher head0.313
Teacher spread0.288 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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