Sense-Remaking: Unpacking Ethical Judgment Change in a Business Ethics Course
Why this work is in the frame
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Bibliographic record
Abstract
While business ethics (BE) courses have increasingly formed part of business school curricula, we still do not know much about how these courses can change students’ capacity to deal with ethical issues. Drawing on a sensemaking perspective, we conducted an action research study with 66 business professionals enrolled in an executive training program at a French university. The aim was to investigate the processes underlying ethical judgment (EJ) change through a BE course. Participants were invited to pick a significant ethical issue they had personally experienced at work. They were then asked to make sense of it, in writing, at the beginning and at the end of the course, 3 months later. In comparing pre-course and post-course judgments, we concluded that the structure and contents of the respondents’ initial judgment had indeed been modified. This change could be accounted for as the outcome of four ‘sense-remaking’ mechanisms, which we theorize as complexifying, reprioritizing, conceptualizing and contextualizing. Our study contributes to the literature on BE education by demonstrating the benefits of a sensemaking approach. It also offers an original process-based model of EJ, specifying the mechanisms at play in EJ change. Finally, it contributes to the field of sensemaking studies by introducing the concept of sense-remaking, shedding new light on the evolutive dimension of sensemaking.
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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 | 0.013 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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