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Record W2625211980 · doi:10.2308/0148-4184.32.1.61

THE ROARING NINETIES: ACCOUNTING HISTORY COMES OF AGE

2005· article· en· W2625211980 on OpenAlexaff
Richard K. Fleischman, Vaughan S. Radcliffe

Bibliographic record

VenueAccounting Historians Journal · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsWestern University
Fundersnot available
KeywordsAccountingContext (archaeology)Work (physics)Field (mathematics)Accounting researchMarxist philosophyProcess (computing)Focus (optics)SociologyHistoryPositive economicsEconomicsPolitical scienceLawPoliticsEngineeringComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The paper outlines developments in the accounting history literature during the 1990s. The introduction chronicles the immense broadening of publication opportunities in accounting history that characterized the decade. To a certain extent, this enhancement of outlets resulted from a richer dialogue among accounting historians who became increasingly willing to debate paradigmatic and methodological issues. In this context, the paper identifies and discusses “traditional” and “critical” forms of accounting history and reviews work within the paradigms of economic-rationalist, Foucauldian, and Marxist/labor-process studies. The major elements of debate between “old” and “new” perspectives on accounting history are discussed and linked to later collaborative efforts and refinements in the work of each genre. Major research projects published during the 1990s are identified, tabulated, and discussed. The paper concludes with a discussion of accounting history as the decade closed, with a particular focus on the opportunities and threats that may lie ahead for the field.

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)0.006
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.013
Science and technology studies0.0060.013
Scholarly communication0.0230.028
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.187
Teacher spread0.176 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations93
Published2005
Admission routes1
Has abstractyes

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