Reviewer Acknowledgements for International Business Research, Vol. 11, No. 6
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 6 Abderrazek Hassen Elkhaldi, University of Sousse, TunisiaAnca Gabriela Turtureanu, “DANUBIUS” University Galati, RomaniaAndrea Carosi, University of Sassari, ItalyAnna Paola Micheli, Univrtsity of Cassino and Southern Lazio, ItalyAshford C Chea, Benedict College, USACristian Marian Barbu, “ARTIFEX” University, RomaniaFawzieh Mohammed Masad, Jadara University, JordanFederica Caboni, University of Cagliari, ItalyFlorin Ionita, The Bucharest Academy of Economic Studies, RomaniaFrancesco Scalera, University of Bari "Aldo Moro", ItalyGuo Zi-Yi, Wells Fargo Bank, N.A., USAHanna Trojanowska, Warsaw University of Technology, PolandHuijian Dong, Pacific University, USAHung-Che Wu, Nanfang College of Sun Yat-sen University, ChinaImran Riaz Malik, IQRA University, PakistanKaren Gulliver, Argosy University, Twin Cities, USAL. Leo Franklin, Bharathidasn University, IndiaLuisa Pinto, University of Porto School of Economics, PortugalM. Muzamil Naqshbandi, University of Dubai, UAEManuela Rozalia Gabor, “Petru Maior” University of Tîrgu Mureş, RomaniaMarcos Ferasso, Meridional Faculty - IMED, BrazilMichele Rubino, Università LUM Jean Monnet, ItalyMiriam Jankalová, University of Zilina, SlovakiaMithat Turhan, Mersin University, TurkeyMohamed Rochdi Keffala, University of Kairouan, TunisiaMohsen Malekalketab Khiabani, University Technology Malaysia, MalaysiaMuath Eleswed, American University of Kuwait, USAOnur Köprülü, Mersin University, TurkeyOzgur Demirtas, Turkish Air Force Academy, TurkeyPascal Stiefenhofer, University of Brighton, UKRafiuddin Ahmed, James Cook University, AustraliaRiccardo Cimini, University of Tuscia, Viterbo, ItalyRoberto Campos da Rocha Miranda, University Center Iesb, BrazilSerhii Kozlovskiy, Donetsk National University, UkraineShun Mun Helen Wong, The Hong Kong Polytechnic University, Hong KongVassili JOANNIDES de LAUTOUR, Grenoble École de Management (France) and Queensland University of Technology School of Accountancy (Australia), FranceYan Lu, University of Central Florida, USA
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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 | 0.039 | 0.332 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.006 |
| Science and technology studies | 0.005 | 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) | 0.122 | 0.086 |
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".