Transformational leadership and cultural minorities: a conceptual model
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine how diversity of cultural minority newcomers and transformational leadership affect the socialization process of cultural minorities in organizations. Design/methodology/approach A conceptual model is developed based on diversity theory and past research studies. Findings The authors highlight the roles of transformational leadership and diversity mindsets in facilitating their socialization process. Research limitations/implications Using quantitative studies, future research should attempt to test the propositions presented in this paper by conducting employee-level studies. Practical implications The focus of diversity training needs to be changed from preventing unfairness and discrimination to viewing diversity as an important informational resource. Leaders of cultural minority newcomers should be trained to lead in a more transformational manner. Originality/value Scholars suggest that research on cultural minorities is lacking and their integration in organizations is examined less extensively. In this paper, the authors fill this gap and present a conceptual model examining the socialization process of cultural minorities.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".