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Record W2267527657

Ranking North American Accounting Scholars Publishing Education Papers: 1966 Through 2011

2013· article· en· W2267527657 on OpenAlexaboutno aff
Kimberly M. Zamojcin, Richard A. Bernardi

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingRanking (information retrieval)AccountingPeriod (music)Library scienceScope (computer science)Political scienceSociologyPsychologyBusinessComputer scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper ranks accounting’s education authors who teach at institutions located in the United States and Canada. During the 46-year period from 1966 through 2011 that we examined, 13 journals published accounting education papers; the publication period for each journal varies. The data indicate that only 31.4 percent of accounting’s 4,855 doctoral faculty, who teach at schools in North America, have one or more publications in these 13 journals. For those doctorates still teaching, the research provides rankings of authors by doctoral year and for four periods: 2002 to 2011 (most recent 10 years), 1992 to 2001 (next 10-year period), 1966 to 1991 (last 26 years), and for the entire 46-year period. To acknowledge the contributions of retired and deceased authors, the research lists those authors who would have been included on the overall list had they still been actively teaching. While Urbancic (2009) and Brigham Young University (BYU) provide rankings of authors in accounting education, these rankings are limited in the scope of the journals included – Urbancic includes only six accounting education journals, while BYU includes only Issues in Accounting Education. We found that Urbancic’s (BYU’s) 10-year (20-year) data had a Spearman’s rho of -0.84 (0.39) with our rankings. We believe that data provides a more comprehensive ranking of accounting’s authors in the area of education.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0050.015
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2013
Admission routes1
Has abstractyes

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