Editorial: An international context of corporate governance research
Bibliographic record
Abstract
The recent issue of Corporate Ownership and Control journal can be referred to a special issue because of the truly international outlook provided by the scholars from more than 10 countries of the world, such as Canada, Australia, the UK, Germany, Italy, Finland, Portugal, Egypt, Thailand, Tunisia, the UAE. All the papers published in this special issue have been divided into several research fields. The first is the board of directors’ practices. The second group of papers concerns the most actual national practices of corporate governance in such countries as Germany, France, Egypt, China, Thailand, OECD and 13 Middle East and North Africa (MENA) countries. All the issues related to corporate governance considered by the authors of the papers published in this issue of the journal provide an excellent vision of the most challenging practices of corporate governance in the global context.
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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 | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.015 | 0.017 |
| Insufficient payload (model declined to judge) | 0.014 | 0.011 |
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".