Does academic management accounting lag practice? A cliometric study
Bibliographic record
Abstract
The schism between accounting practice and the accounting academy has been a lament of accountants for many decades. This schism has two aspects – the schism between research and practice and the schism between education and practice. This article focuses on the later schism and uses a statistical approach to compare the dates of introduction of new management accounting concepts into accounting education and the professional body of knowledge over the period 1967 to 1997. The results indicate that, on average, accounting education lags practice and the length of the lag has increased since the early 1980s. The study contributes to the growing use of cliometrics (quantitative analysis) in accounting history, provides new empirical data on the accounting schism and offers insights for the profession and academy on the pattern of knowledge transfer. The use of new sources and a different research method offer additional insights on the established themes of “relevance lost” and the “accounting lag” in the management accounting and accounting history literatures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.088 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.017 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".