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Record W3043092936 · doi:10.1111/1467-923x.12884

Welfare‐Consequentialism: A Vaccine for Populism?

2020· article· en· W3043092936 on OpenAlex
Noel Semple

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

VenueThe Political Quarterly · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPopulismConsequentialismIdeologyWelfarePolitical economyGovernment (linguistics)Law and economicsPolitical scienceEconomicsSociologyPublic administrationPoliticsLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article is about two ideologies. Welfare‐consequentialism holds that government should adopt the policies that can rationally be expected to maximise aggregate welfare. Populism holds that society is divided into a pure people and a corrupt elite, and asserts that public policy should express the general will of the people. The responses of world governments to the coronavirus pandemic have clearly illustrated the contrast between these ideologies, and the danger that populist government poses to human wellbeing. The article argues that welfare‐consequentialism offers a vaccine for populism. First, it rebuts populism’s claims about who government is for and what it should do. Second, the pessimism and distrust that make people crave populism can be satiated by successful welfare‐consequentialist government. Finally, welfare‐consequentialism’s sunny narrative of progress can be just as compelling to people as populism’s dark story has proven to be.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.047
GPT teacher head0.335
Teacher spread0.289 · 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