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Record W4312634953 · doi:10.1109/rew56159.2022.00006

RE 2022 Organizing Committee

2022· article· en· W4312634953 on OpenAlexaff
Muneera Bano, Csiro Data, Jean-Guy Schneider, Eric Knauss, Chetan Arora, Kevin Lee, Salome Maro, Kelly Blincoe, Birgit Penzenstadler, Joerg Doerr, Andreas Vogelsang, Matthias Galster, Anne Heß, Mehrdad Sabetzadeh, Irit Hadar, Ana Moreira, Alicia Grubb, Smith College, Rebekka Wohlrab, Nelly Bencomo, Seok-Won Lee, Alessio Ferrari, Lin Liu, Xiao Liu, Khlood Ahmad, Oliver Karras, Mahdi Babaei, Hourieh Khalajzadeh, Mansooreh Zahedi, Waqar Hussain, Maria Spichkova, Haiyan Zhao, Mentoring Chair, Didar Zowghi, Finance Chair, Mohamed Abdelrazek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Perspectives in Modern Studies
Canadian institutionsUniversity of OttawaYork UniversityMcGill University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.010
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.741
Threshold uncertainty score0.868

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0040.001
Scholarly communication0.0130.003
Open science0.0040.004
Research integrity0.0130.007
Insufficient payload (model declined to judge)0.2590.267

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 head0.046
GPT teacher head0.228
Teacher spread0.182 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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 abstractno

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