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Record W4384157325 · doi:10.1002/joom.1192

Issue Information

2023· paratext· en· W4384157325 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Operations Management · 2023
Typeparatext
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsnot available
FundersHEC MontréalUniversity of Massachusetts AmherstUniversiteit van TilburgThammasat UniversitySeoul National UniversityUniversity of Science and Technology of ChinaNanyang Technological UniversityIndian Institute of Technology BombayUniversity of BathUniversity of LeedsYork UniversityNational Chengchi UniversityMarquette UniversityOregon State UniversityIowa State UniversityOld Dominion UniversityUniversity of North TexasMichigan State UniversityUniversity of DaytonCollege of Engineering, Michigan State UniversityUniversità degli Studi di PadovaLehigh UniversityVirginia Commonwealth UniversityArizona State UniversityPortland State UniversityTexas Christian UniversityUniversität zu KölnWashington State UniversityColorado State UniversityUniversity of North FloridaCleveland State UniversitySyracuse UniversityKyung Hee UniversityOhio State UniversityGeorgia Institute of TechnologyState University of New YorkUniversity of MinnesotaBrigham Young UniversityVanderbilt UniversityUniversity of Nebraska-LincolnClemson UniversityWest Virginia UniversityFlorida State UniversityCarl von Ossietzky Universität OldenburgBoise State UniversitySalisbury UniversityGeorge Mason University
KeywordsComputer scienceCitationInformation retrievalWorld Wide Web

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)0.001
metaresearch head score (Gemma)0.006
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 score0.061
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0020.001
Scholarly communication0.0090.004
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9390.906

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 head0.245
Teacher spread0.225 · 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

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