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Record W4303199278 · doi:10.1017/s1755773922000431

EPR volume 14 issue 4 Cover and Front matter

2022· article· en· W4303199278 on OpenAlexfundno aff
Martin Groß, Mihail Chiru, Pascal D. König, Marina Costa Lobo, Matt Qvortrup, Catherine Moury, Mary Cenci

Bibliographic record

VenueEuropean Political Science Review · 2022
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsnot available
FundersUniversity of California, IrvineFreie Universität BerlinUniversité de MontréalTechnische Universität DarmstadtTel Aviv UniversityUniversità degli Studi di TrentoVrije Universiteit AmsterdamStockholms UniversitetUniversity of OxfordEuropean University InstituteErasmus Universiteit RotterdamUniversity of BristolUniversitat Pompeu FabraLondon School of Economics and Political ScienceUniversity of PittsburghUniverzita Komenského v BratislaveUniversity of California, DavisHarvard UniversityPrinceton UniversityUniversity of Southern California
KeywordsFront coverCover (algebra)Volume (thermodynamics)Front (military)Action (physics)Computer sciencePolitical scienceEngineeringPhysicsMechanical engineeringThermodynamics

Abstract

fetched live from OpenAlex

From immigration over redistributive attitudes to welfare spending. The moderating role of social program design Leonce rth, Dennis Spies and alexander Schmidt-Catran Labour market policies and support for populist radical right parties: the role of nostalgic producerism, occupational risk, and feedback effects Matthew E. Bergman How challenger party issue entrepreneurship and mainstream party strategies drive public issue salience: evidence from radical-right parties and the issue of immigration Christopher J. williams and Sophia Hunger Space invaders and norm-politicians: how the media represent the intersectional identities of Members of Parliament Zahra runderkamp, Daphne van der pas, anne Louise Schotel and Liza Mgge When does women's political power matter? Women's representation and legal gender equality of economic opportunity across contexts Nam Kyu Kim The good, the loyal or the active? MPs' parliamentary performance and the achievement of static and progressive career ambitions in parliament richard Schobess and Benjamin de vet Who's fit for the job? Allocating ministerial portfolios to outsiders and experts Matthias Kaltenegger and Laurenz Ennser-Jedenastik Citizens' preferences for liberal democracy and its deformations: Evidence from Germany -Erratum

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.348
Threshold uncertainty score0.497

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.6520.303

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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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