Bibliographic record
Abstract
The ethical development of business graduates is a critical issue. Yet, little empirical evidence exists on the factors affecting business graduate ethical development and behaviour using an Islamic perspective. This study examines the effects of mentoring support, the perceived standard of ethical conduct of peers, and individual ethical attributes of National female (Emirati) business graduates from the United Arab Emirates. Research has shown that formal and informal mentoring relationships benefit new employees by enabling them to further learn and grow within an organisation. On the other hand, some employees have also shown that these relationships can have a negative impact on a new employee's ethical orientation. The aim of this study is to investigate the ethical orientations of Emirati female business graduates as they move from the relative sanctity of home and university into a new multicultural, westernised business environment. The results suggest that the ethical evaluations and behavioural intentions of Emirati graduates are affected by a multiplicity of sources including professional bodies and both mentors and peers in the workplace. It may be prudent at such a significant time in the UAE's development that educators consider introducing ethical education into tertiary curriculum.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.976 | 0.968 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".