Bibliographic record
Abstract
Citation (2015), "List of Contributors", International Corporate Governance (Advances in Financial Economics, Vol. 18), Emerald Group Publishing Limited, Bingley, p. vii. https://doi.org/10.1108/S1569-373220150000018011 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Menachem (Meni) Abudy Bar Ilan University, Israel Aigbe Akhigbe University of Akron, USA Nilanjan Basu Concordia University, Canada Stephen P. Ferris University of Missouri, USA Bill B. Francis Rensselaer Polytechnic Institute, USA Dobrina Georgieva University of St. Thomas, USA Iftekhar Hasan Fordham University, USA; Bank of Finland, Finland Reza Houston Indiana State University, USA Beni Lauterbach Bar Ilan University, Israel William R. McCumber Louisiana Tech University, USA James E. McNulty Florida Atlantic University, USA Eric Ofori University of Albany, USA Imants Paeglis Concordia University, Canada Mohammad Rahnamaei Concordia University, Canada Robert E. Wright Augustana University, USA Book Chapters International Corporate Governance Advances in Financial Economics International Corporate Governance Copyright Page List of Contributors Ownership Structure and Power: Evidence from US Corporations Changes in Controlling Shareholders’ Holdings: Do they Entail Financial Tunneling? Devolution of the Republican Model of Anglo-American Corporate Governance Toward a Better Measure of Bank Corporate Governance Corporate Political Connections and the IPO Process: The Benefits of Politically Connected Board Members and Managers Internal Corporate Governance: The Role of Residual Income in Divisional Allocation of Funds Ownership Matters: The Capital Structure of Private Firms Investor Protections, Capital Markets, and Economic Growth: The African Experience
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.729 | 0.757 |
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".