Factors That Affect Understanding of Social Responsibility Accounting
Why this work is in the frame
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Bibliographic record
Abstract
Many social responsibility/sustainable development (SR/SD) issues affecting accounting policies and standards will have to be addressed by present and future accountants. This paper investigates qualitative factors that may impede the learning of, and attitudes toward, SR/SD. While Gordon (1998) examined exposure to SR/SD, the present study contributes to the literature in several ways. First, to overcome one of the limitations of Gordon's study, noted by her, matched pair responses (n = 198) to pre- and post-study questionnaires are employed in this study. These responses are analyzed using t-statistics, cluster analysis, and multivariate analysis. Second, three factors not previously examined that may affect learning of SR/SD (number of economics courses taken, gender, and grade point average) are explored in this paper. The positive conclusion is that exposure to SR/SD had more influence on learning, understanding, and attitudes than did pre-existing demographic and educational background variables with the exception of grade point average. As a surrogate for intelligence or ability to learn, grade point average was found to be highly significant in a multivariate model. An appreciation that ability to learn affects understanding and attitudes is important for instructors in both continuing professional education and university/college accounting.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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