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Values, value types and moral reasoning of MBA students

2010· article· en· W2095387114 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBusiness Ethics A European Review · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHedonismPsychologyValue (mathematics)Social psychologyAffect (linguistics)UniversalismMoral reasoningRanking (information retrieval)Value theoryDevelopmental psychologyStatisticsEpistemologyMathematics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.048
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.048
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.290
GPT teacher head0.468
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it