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Record W3119391036 · doi:10.1017/s1474746420000664

State of the Art: ‘The People’ and Their Social Rights: What Is Distinctive About the Populism-Religion-Social Policy Nexus?

2021· article· en· W3119391036 on OpenAlexaff
Rana Jawad, Daniel Béland, Emmanuele Pavolini

Bibliographic record

VenueSocial Policy and Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsMcGill University
Fundersnot available
KeywordsPopulismSocial policyWelfare statePolitical economyPolitical sciencePoliticsState (computer science)SociologySocial philosophySocial scienceSocial relationLaw

Abstract

fetched live from OpenAlex

The aims of this review article are two-fold: (1) to set out the key theoretical trends in the study of religion, populism and social policy as antithetical concepts that also share common concerns; (2) to re-assert the relevance of social policy to the social and political sciences by making the case for studying outlier or indeed rival topics together – in this case populism and religion. Social policy scholars do not necessarily associate these two topics with modern social policy, yet they have a long history of influence on societies all over the world; populism is also especially timely in our current era. The article contributes to the literature by: (a) helping social policy better understand its diverse and at times contradictory constituencies; (b) contributing to a more complex and inclusive understanding of social policy and, therefore, social welfare. In setting out the state-of-the-art, the article also draws upon research on social policy which spans various continents (North America, Europe, the Middle East and North Africa and Latin America) and a preceding paper collaboration by the authors on religion and social policy (Pavolini et al., 2017).

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 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 categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0120.003
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.016
GPT teacher head0.306
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations5
Published2021
Admission routes1
Has abstractyes

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