Bibliographic record
Abstract
Citation (2012), "Advances in Global Leadership", Mobley, W.H., Wang, Y. and Li, M. (Ed.) Advances in Global Leadership (Advances in Global Leadership, Vol. 7), Emerald Group Publishing Limited, Bingley, p. i. https://doi.org/10.1108/S1535-1203(2012)0000007025 Publisher: Emerald Group Publishing Limited Copyright © 2012, Emerald Group Publishing Limited Book Chapters Advances in Global Leadership Advances in Global Leadership Advances in Global Leadership Copyright Page List of Contributors Preface Introduction – Looking Back and Looking Forward What is Leadership? Ethical Leadership and Workplace Deviance: The Role of Moral Disengagement Understanding Leaders’ Proactivity from a Goal-Process View and with Multisource Ratings Team Leaders’ Emotional Intelligence, Personality, and Empowering Behavior: An Investigation of their Relations to Team Climate The Context of Expert Global Leadership “Some Like it Hot!”: Interpreting and Responding to Diversity Issues and Initiatives: Implications for Global Leaders Development of the Cultural Intelligence Assessment Personalizing Global Leader Development @ Infosys A Cross-Cultural Perspective on Leadership Assessment: Comparing 360-Degree Feedback Results from Around the World Similarities and Differences in Managerial Judgment Around the World Leadership Essentials to Attract, Engage, and Retain Global Human Talent Building the Global Competence of Asian Leaders Developing a Global Mindset for Leaders: The Case of the Canadian Context Understanding Leadership in China: Leadership Profiles of State-Owned Enterprises, Multinational Corporations, and Major Economic Trading Partners Contemporary Leadership Approaches in Chinese Business Developing Global Roles for Chinese Leadership: An ASD Theory of Organizational Change Conclusion: Reconnecting with the Foundations to Build Global Leadership Capability About the Editors About the Contributors Table of Contents from Volume 1 – 6
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.151 | 0.073 |
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 source (direct Gemma or distilled Codex), 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".