Akbar's multiculturalism: lessons for diversity management in the 21st century
Bibliographic record
Abstract
This paper challenges the hegemony of US-centric perspectives in the diversity management literature by explaining how non-Western histories and cultures may provide alternative contexts for understanding and managing diversity. In pursuit of this, the paper describes how Muslim ruler Jalaluddin Muhammad Akbar conceptualized multiculturalism in 16th century India, and how his principles of sulh-i-kul, rah-i-aql, and rawa-i-rozi may be adopted to develop a sociopolitical environment conducive to managing cultural diversity in organizations, an environment currently lacking even in the majority of democratic countries in the world today. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd. Le présent article s'inscrit en faux contre l'hégémonie des perspectives américano-centriques dans les travaux en gestion de la diversité, en expliquant comment les histoires et les cultures non-occidentales offrent des contextes différents pour l'intelligence et la gestion de la diversité. L'article décrit notamment comment le souverain musulman Jalaluddin Muhammad Akbar a conceptualisé la notion de multiculturalisme en Inde au XVIe siècle, et comment ses principes de sulh-i-kul, rah-i-aql et de rawa-i-rozi peuvent être adoptés pour créer un environnement sociopolitique favorable à la gestion de la diversité dans les organisations, un tel environnement faisant actuellement défaut même dans la plupart des pays démocratiques du monde. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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; both teacher heads 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".