Productivity in Top‐10 Academic Accounting Journals by Researchers at Canadian Universities at the Start of the 21st Century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract We assess the research publication productivity of Canadian‐based accounting researchers in highly ranked accounting journals for the 2001–13 period. Our research provides important benchmarks for use by individual researchers and universities for matters such as promotion and tenure decisions. For example, each Canadian‐based faculty member had approximately 0.50 of a weighted article for the 13‐year period, and 45 percent of all accounting faculty members published at least once in a top‐10 accounting journal. We also provide an overview of the type of research being published by Canadian‐based researchers in each of the top‐10 journals (financial accounting, managerial, audit, tax or other) and we assess how productivity at top‐10 journals has changed over time. In supplemental analysis, we compare and contrast the productivity of the 15 male and 15 female academics that publish most in top‐10 accounting journals to assess the breadth of outlets being used beyond top‐10 outlets (including FT 45 journals, accounting journals ranked “A”, “B”, and “non‐A/B”; non‐accounting peer‐reviewed journals, non‐peer‐reviewed outlets). The supplemental analysis also helps to shed light on the finding from this paper, and prior research, that women are less likely to be represented on lists of those with most publications in highly ranked accounting journals, by comparing the two groups of researchers across a variety of institutional and other factors.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it