Attitude towards Business Ethics: Examining the Influence of Religiosity, Gender and Education Levels
Why this work is in the frame
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Bibliographic record
Abstract
This study aims to explore the influence of religiosity, gender and education levels on attitude towards businessethics. Religiosity has long been regarded as the key determinant in shaping ethical values. The well-establishedscale of Attitude Towards Business Ethics Questionnaire (ATBEQ) was adapted. Religiosity was measured usingthe Religious Commitment Inventory Scale (RCI-10). There are two dimensions of religiosity – intrapersonalreligiosity and interpersonal religiosity. Results showed that intrapersonal religiosity was a significantdeterminant to attitude towards business ethics but interpersonal religiosity was not. Comparisons were alsomade across several demographic characteristics with regards to business ethics. There was no significantdifference between gender. Significant difference was found in business ethics across different educationallevels.
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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 | 0.025 | 0.142 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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