Bridging the gap between governmental accounting education and practice
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
Preparing well educated accounting students for future, involve teaching using high techniques, will benefit all public and private organizations. Accounting educators and practitioners are pressured by the industries, globalization and the professions to generate graduates with accountancy skills that meet the changing needs. In this survey, a questionnaire was conducted and distributed randomly to ascertain the views of accounting academics and practitioners on the contents of governmental accounting courses and the personal skills and competencies of recent graduates. The results show that practitioners placed an emphasis on traditional accounting techniques, while academics placed an emphasis on contemporary techniques. Both groups were in agreement on some skills and characteristics required of recent graduates. The main finding is the existence of a real gap between education and practice of governmental accounting. The implications of the results are that academics cannot ignore the teaching of traditional governmental accounting techniques and may need to increase the coverage of the issues involved in implementing contemporary governmental accounting techniques.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it