Reviewer Acknowledgements for International Business Research, Vol. 11, No. 7
Bibliographic record
Abstract
International Business Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.International Business Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://recruitment.ccsenet.org and e-mail the completed application form to ibr@ccsenet.org.Reviewers for Volume 11, Number 7 Alireza Athari, Eastern Mediterranean University, IranBenjamin James Inyang, University of Calabar, NigeriaBruno Ferreira Frascaroli, Federal University of Paraiba, BrazilBrazil,Carlo Alberto Magni, University of Modena and Reggio Emilia, ItalyChemah Tamby Chik, Universiti Teknologi Mara (Uitm), MalaysiaChokri Kooli, International Center for Basic Research applied, Paris, CanadaDonghun Yoon, Seoul Center, Korea Basic Science Institute, Republic of KoreaEjindu Iwelu MacDonald Morah, University of Westminster, London, UKEunju Lee, University of Massachusetts Lowell, USAFevzi Esen, Istanbul Medeniyet University, TurkeyFoued Hamouda, Ecole Supérieure de Commerce, TunisiaGianluca Ginesti, University of Naples “FEDERICO II”, ItalyGuo Zi-Yi, Wells Fargo Bank, N.A., USAHsiao-Ching Kuo, Washington and Jefferson College, USAIonela-Corina Chersan, “Alexandru Ioan Cuza” University from Iași, RomaniaJoanna Katarzyna Blach, University of Economics in Katowice, PolandMaria Teresa Bianchi, University of Rome “LA SAPIENZA”, ItalyMaria-Madela Abrudan, University of ORADEA, RomaniaMichaela Maria Schaffhauser-Linzatti, University of Vienna, AustriaMiriam Jankalová, University of Zilina, SlovakiaMithat Turhan, Mersin University, TurkeyModar Abdullatif, Middle East University, JordanMuath Eleswed, American University of Kuwait, USAOzgur Demirtas, Turkish Air Force Academy, TurkeyPascal Stiefenhofer, University of Brighton, UKRafiuddin Ahmed, James Cook University, AustraliaRoberto Campos da Rocha Miranda, University Center Iesb, BrazilRomana Korez Vide, University of Maribor, SloveniaRoxanne Helm Stevens, Azusa Pacific University, USASerhii Kozlovskiy, Donetsk National University, UkraineSumathisri Bhoopalan, SASTRA Deemed to be University, IndiaVassili JOANNIDES de LAUTOUR, Grenoble École de Management (France) and Queensland University of Technology School of Accountancy (Australia), France
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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 | 0.041 | 0.356 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.006 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.117 | 0.084 |
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".