Editorial: An international outlook of corporate governance research
Bibliographic record
Abstract
This issue of the journal “Corporate Ownership and Control” is absolutely unique from the point of view of the geodiversity of the research. Thus, having published 16 papers in this issue of the journal we can count the research on corporate governance in the USA, the UK, Norway, Australia, Italy, Germany, Netherlands, Portugal, Spain, Belgium, Sweden, Finland, Austria, Greece, Ireland, Poland, France, Brazil, Tunisia, Morocco, Egypt, the UAE, Saudi Arabia, Kuwait, and others. This provides a very solid vision of the corporate governance national practices worldwide. This issue of the journal proves once again that corporate governance became a global subject for research during the last decade. Scholars from all the countries of the world try to deliver the new research results related to the national markets providing room for further comparison and research and we hope that the readers will enjoy the results of the recently published papers.
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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 | 0.010 | 0.040 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.018 | 0.016 |
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".