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Record W4294681421 · doi:10.1002/epa2.1118

Issue Information

2022· paratext· en· W4294681421 on OpenAlexaff
Anna Malandrino, Céline Mavrot, Z.E. Adam, Iván Csaba, Bernhard Ebbinghaus, Lukas Lehner, Elias Naumann, Jörgen Sparf, Evangelia Petridou, Mikael Granberg, Beatrice Onn, Nikolaos Zahariadis, Th Eofanis, Alexandros Kyriakidis, Ioannis Papadopoulos, Nils C. Bandelow, Johanna Hornung, Fritz Sager, Ilana Schröder, Jolanta Aidukaitė, Javier Arregui, Andreas Balthasar, Peter Biegelbauer, Sonja Blum, Nissim Cohen, Claire A. Dunlop, William Genieys, Hanne Foss Hansen, Patrick Hassenteufel, Simon Hegelich, Michael Howlett, Simon Fraser, Karin Ingold, Darryl S. L. Jarvis, Nicole Kerschen, Tanja Klenk, Martino Maggetti, Miroslav Mareš, David Natali, Daniel Nohrstedt, José Antonio, Correira Pereirinha, Claudio M. Radaelli, Josef Schmid, Klaus Schubert, James Sloam, Marc Smyrl, Rumiana Stoilova, Minna Van Gerven-Haanpaa, Frans van Nispen, Frédéric Varone, Christopher M. Weible, Hubert Zimmermann

Bibliographic record

VenueEuropean Policy Analysis · 2022
Typeparatext
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCitationComputer scienceInformation retrievalWorld Wide WebLibrary science

Abstract

fetched live from OpenAlex

Analysis (EPA) is a double-blind peer-reviewed journal addressing European perspectives on the study of public policy. Published on behalf of the Policy Studies Organization, the journal provides a platform for individually submitted articles and special foci of high quality. Both empirical and theoretical contributions are welcomed, but EPA prefers submissions that present new theoretical or methodological perspectives combined with current data. Likewise, EPA invites overviews of country and regional perspectives on the study of public policy. With a focus on European countries, issues and studies, the journal follows a comparative approach enhancing the cross-continental theoretical understanding of policy research.

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)0.002
metaresearch head score (Gemma)0.015
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 score0.138
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0020.001
Scholarly communication0.0100.005
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8620.774

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 head0.020
GPT teacher head0.348
Teacher spread0.328 · 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

Explore more

Same venueEuropean Policy AnalysisSame topicLegal and Policy IssuesFrench-language works237,207