Reviewer Acknowledgements for International Business Research, Vol. 11, No. 3
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 3 Alireza Athari, Eastern Mediterranean University, IranAnna Paola Micheli, Univrtsity of Cassino and Southern Lazio, ItalyAntônio André Cunha Callado, Universidade Federal Rural de Pernmabuco, BrazilAtallah Ahmad Alhosban, Aqaba University of Technology , JordanAurelija Burinskiene, Vilnius Gediminas Technical University, LithuaniaClaudia Isac, University of Petrosani, RomaniaEunju Lee, University of Massachusetts Lowell, USAFederica Caboni, University of Cagliari, ItalyFlorin Ionita, The Bucharest Academy of Economic Studies, RomaniaGiuseppe Granata, University of Cassino and Southen Lazio, ItalyGuillaume Marceau, University of Aix-Marseille, FranceHanna Trojanowska, Warsaw University of Technology, PolandHerald Monis, Milagres College, IndiaHung-Che Wu, Nanfang College of Sun Yat-sen University, ChinaImran Riaz Malik, IQRA University, PakistanIsam Saleh, Al-Zaytoonah University of Jordan, JordanKaren Gulliver, Argosy University, Twin Cities, USALadislav Mura, University of Ss. Cyril and Methodius in Trnava, SlovakiaMarcelino José Jorge, Evandro Chagas Clinical Research Institute of Oswaldo Cruz Foundation, BrazilMichaela Maria Schaffhauser-Linzatti, University of Vienna, AustriaModar Abdullatif, Middle East University, JordanMohamed Abdel Rahman Salih, Taibah University, Saudi ArabiaMohsen Malekalketab Khiabani, University Technology Malaysia, MalaysiaMuath Eleswed, American University of Kuwait, USAOnur Köprülü, Mersin University, TurkeyÖzcan IŞIK, Cumhuriyet University, TurkeyPascal Stiefenhofer, University of Brighton, UKRaphaël Dornier, Université Savoie Mont Blanc, FranceRiccardo Cimini, University of Tuscia, Viterbo, ItalyRoberto Campos da Rocha Miranda, University Center Iesb, BrazilSumathisri Bhoopalan, SASTRA Deemed to be University, IndiaValerija Botric, The Institute of Economics, Zagreb, CroatiaYan 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 | 0.040 | 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 | 0.006 | 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) | 0.122 | 0.078 |
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".