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Record W4200166430 · doi:10.1111/1475-6765.12502

The partisan nature of support for democratic backsliding: A comparative perspective

2021· article· en· W4200166430 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Journal of Political Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsMcGill University
Fundersnot available
KeywordsDemocracyIdeologyPresidencyPolitical economyPolitical scienceLegislaturePolarization (electrochemistry)Context (archaeology)Power (physics)Law and economicsLawSociologyPolitics

Abstract

fetched live from OpenAlex

Abstract This article asks whether the willingness of partisans to condone democratic backsliding is a uniquely American phenomenon and explores why partisans would tolerate a party leader subverting democratic norms. We focus on executive aggrandizement as a key mechanism through which democratic backsliding occurs and develop three potential explanations for why partisans would accept the weakening of checks on the power of the executive. First, in a context of affective polarization, partisans may condone executive aggrandizement in order to advantage their party and disadvantage the opponent. Second, partisans may be willing to trade off democratic norms in pursuit of their ideological agenda. Third, partisans may take cues from the behaviour of party elites. These explanations are tested using a candidate‐choice conjoint experiment administered to Americans and Canadians in 2019 that involved respondents choosing between hypothetical candidates in intra‐party contests. Regardless of party, partisans in both countries proved willing to choose candidates who would loosen legislative and judicial restraints on the executive. While the partisan advantage explanation only held for strong Republicans in the United States, partisans in Canada and the United States alike were apparently willing to weaken restraints on the executive for the sake of their ideological agendas, at least in the case of abortion. Finally, Republicans who approved of the Trump presidency were much less likely than other Republicans to punish undemocratic candidates, lending support to the cue‐taking explanation.

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)0.008
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.258
GPT teacher head0.535
Teacher spread0.277 · 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