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Record W4205297170 · doi:10.54784/1990-6587.1282

Front Matter of Volume 8 Number 2

2013· paratext· en· W4205297170 on OpenAlexfundno aff
Tufail A. Qureshi

Bibliographic record

VenueBusiness Review · 2013
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersU.S. Air ForceAristotle University of ThessalonikiUniversity of OxfordOhio Wesleyan UniversityAmherst CollegeFranklin and Marshall CollegeJohn Carroll UniversityKent State UniversityColgate UniversityUniversity of AkronBall State UniversityCase Western Reserve UniversityUniversity of CincinnatiSyracuse UniversityUniversity of PittsburghTulane UniversityUniversity of Illinois at Urbana-ChampaignUniversity of DaytonMichigan State UniversityUniversity of Notre DameKenyon CollegeYeshiva UniversityHarvard UniversityYork UniversityUniversity of MiamiUniversity of MissouriLouisiana State UniversityGeorge Washington UniversityCollege of Engineering, Michigan State UniversityNorthern Illinois UniversityRice UniversityOhio State UniversityPurdue UniversityBoston CollegeButler UniversityWayne State UniversityU.S. Air Force AcademyBowling Green State UniversityStrongYale UniversityNorthern Michigan UniversityUniversity of PennsylvaniaWilliams College
KeywordsFront (military)Volume (thermodynamics)PhysicsMeteorologyThermodynamics

Abstract

fetched live from OpenAlex

IBA Business Review Front Matter

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)0.008
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 score0.414
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0090.003
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.5860.505

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 head0.041
GPT teacher head0.232
Teacher spread0.191 · 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".

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Citations0
Published2013
Admission routes1
Has abstractno

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