Reviewer Acknowledgements for International Business Research, Vol. 11, No. 4
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 4 Alireza Athari, Eastern Mediterranean University, IranAshford C Chea, Benedict College, USAAtallah Ahmad Alhosban, Aqaba University of Technology, JordanAurelija Burinskiene, Vilnius Gediminas Technical University, LithuaniaBenjamin James Inyang, University of Calabar, NigeriaCelina Maria Olszak, University of Economics in Katowice, PolandChristos Chalyvidis, Hellenic Air Force Academy, GreeceChuan Huat Ong, KDU Penang University College, MalaysiaClaudia Isac, University of Petrosani, RomaniaDonghun Yoon, Seoul Center, Korea Basic Science Institute, Republic of KoreaEwa Ziemba, University of Economics in Katowice, PolandFevzi Esen, Istanbul Medeniyet University, TurkeyFrancesco Ciampi, Florence University, ItalyGeorgeta Dragomir, “Danubius” University of Galati, RomaniaGuo Zi-Yi, Wells Fargo Bank, N.A., USAHaldun Şecaattin Çetinarslan, Turkish Naval Forces Command, TurkeyHanna Trojanowska, Warsaw University of Technology, PolandHsiao-Ching Kuo, Washington and Jefferson College, USAImran Riaz Malik, IQRA University, PakistanJanusz Wielki, University of Business in Wroclaw, PolandManuela Rozalia Gabor, “Petru Maior” University of Tîrgu Mureş, RomaniaMaria Teresa Bianchi, University of Rome “LA SAPIENZA”, ItalyMaria-Madela Abrudan, University of ORADEA, RomaniaMichaela Maria Schaffhauser-Linzatti, University of Vienna, AustriaMithat Turhan, Mersin University, TurkeyMohamed Rochdi Keffala, University of Kairouan, TunisiaMohsen Malekalketab Khiabani, University Technology Malaysia, MalaysiaOzgur Demirtas, Turkish Air Force Academy, TurkeyRafiuddin Ahmed, James Cook University, AustraliaRiccardo Cimini, University of Tuscia, Viterbo, ItalyRoberto Campos da Rocha Miranda, University Center Iesb, BrazilRoxanne Helm Stevens, Azusa Pacific University, USASam C Okoroafo, University of Toledo, USASerhii Kozlovskiy, Donetsk National University, UkraineShun Mun Helen Wong, The Hong Kong Polytechnic University, Hong KongSumathisri Bhoopalan, SASTRA Deemed to be University, IndiaValeria Stefanelli, University of Salento, Italy
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.009 |
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; both teacher heads agree on what is shown here.
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".