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Record W4387190850 · doi:10.2308/1936-1270-17.2.i

Covers and Front Matter

2023· article· en· W4387190850 on OpenAlexaff
Colleen M. Boland, Paul Caster, Randal J. Elder, Diane J. Janvrin, Matthew Ege, Noël Harding, Dana R. Hermanson, Kyleen W. Prewett, Jonathan S. Pyzoha, Dereck Barr‐Pulliam, Helen L. Brown‐Liburd, Amanda Carlson, Lawrence Chui, Mary G. Curtis, Byron J. Pike, Sean Fingland, Jeffrey S. Pickerd, M. David Piercey, Kevin Hale, John M. Truelson, Erin B Hamilton, Jason A. Smith, Jonathan A. Milian, K Raghunandan, Vanessa Vandamas, Andrea Rozario, Miklos A. Vasarhelyi, Tawei Wang, Deniz Appelbaum, Mark S. Beasley, James L. Bierstaker, Veena L. Brown, Lawrence Burke, Jared Chapman, Ernst Young, Boca Raton, Anna M. Cianci, Sean Conroy, Marshall A. Geiger, Audrey A. Gramling, Mary E. Harris, Julia L. Higgs, Sean Hillison, James H. Jenkins, Andrea Seaton Kelton, Stacy Lamontagne, Juan Mao, Róger Martín, Susan McCracken, Jason Plourde, R Riley, Gregory Sierra, Chad Simon, Wally Smieliauskas, Kerri‐Ann Sanderson, Yvonne Hinson, Stephanie Austin, David Twiddy, Jan Kovarik, Shauna Bigelow, Cindy Boisvert, Maria Casey, Beverly Collins, D.C. Dobson, Stephanie Glaser, Mary Gripshover, Barbara Gutiérrez, Erlinda Jones, Kelly K. Lee, Nancy Maciag, Steve Matzke, Michele Morgan, Suzanne Mullinix, Connie O'brien, Karen Osterheld, Dylan Plaster, Kelli Rickrode, James Mark

Bibliographic record

VenueCurrent Issues in Auditing · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsUniversity of TorontoMcMaster University
FundersJames Madison University
KeywordsFront (military)BusinessEngineeringMechanical engineering

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)0.000
metaresearch head score (Gemma)0.003
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 score0.101
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.8990.883

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 head0.059
GPT teacher head0.269
Teacher spread0.210 · 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
Published2023
Admission routes1
Has abstractno

Explore more

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