Values, value types and moral reasoning of MBA students
Bibliographic record
Abstract
This study uses the Schwartz Values Questionnaire and version 2 of the Defining Issues Test to investigate the values, value types (clusters of related values) and level of moral reasoning of a sample of 108 MBA students in a Canadian university. There are no statistically significant differences in the levels of moral reasoning attributed to gender. Male and female MBA students rank ‘family security’ and ‘healthy’ as their two most important values. For males, hedonism, achievement and self‐direction are the three most important value types, while for females they are benevolence, hedonism and security, respectively. There are statistically significant gender differences for the value types hedonism, achievement, stimulation and power. Overall, however, there are more similarities than differences between the male and the female students. Regression analysis indicates a statistically significant positive association between the postconventional level of moral reasoning as measured by P‐scores and the value‐type universalism. The findings provide further evidence that value types affect the postconventional level of moral reasoning.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".