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Record W2996355848 · doi:10.1177/1052562919892032

The Impact of Workplace Mentors on the Moral Disengagement of Business Student Protégés

2019· article· en· W2996355848 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.

Bibliographic record

VenueOrganizational Behavior Teaching Review · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsBrock University
Fundersnot available
KeywordsMoral disengagementPsychologyWorkforceDisengagement theoryPedagogySocial psychologyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Educators and practitioners often raise the question of whether business schools sufficiently prepare students to stay morally engaged when faced with ethical dilemmas in the workforce. Specifically, they criticize the theoretical nature of traditional in-class exercises for inhibiting students’ moral development. We investigate the impact working business mentors have on business student moral disengagement. We collected three waves of data from an 8-month formal mentoring program that matched business students with working mentors from the business community. We found that student protégé moral disengagement decreased during the mentoring program as a function of mentor ethical leadership skills, moral identity internalization, and moral awareness. Consequently, we recommend that mentoring programs pay close attention to these mentor characteristics to elevate business student moral reasoning and avoid unintended negative consequences. To guide mentoring programs in this endeavor, we provide specific recommendations for structuring a training program that focuses on improving mentor critical thinking, moral awareness, and ethical leadership.

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)0.008
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.007
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.145
GPT teacher head0.454
Teacher spread0.309 · 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