Reviewer Acknowledgements for International Business Research, Vol. 10, No. 11
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 10, Number 11Antônio André Cunha Callado, Universidade Federal Rural de Pernmabuco, BrazilArash Riasi, University of Delaware, USACelina Maria Olszak, University of Economics in Katowice, PolandChuan Huat Ong, KDU Penang University College, MalaysiaDea’a Al-Deen Al-Sraheen, Al-Zaytoonah University of Jordan, JordanEva Mira Bolfíková, Univerzity of P. J. Šafárik in Košice, Slovak RepublicFederica Caboni, University of Cagliari, ItalyGiuseppe Granata, University of Cassino and Southen Lazio, ItalyHongliang Qiu, Tourism College of Zhejiang, ChinaHsiao-Ching Kuo, Washington and Jefferson College, USAHung-Che Wu, Nanfang College of Sun Yat-sen University, ChinaKaren Gulliver, Argosy University, Twin Cities, USAMaria Teresa Bianchi, University of Rome “LA SAPIENZA”, ItalyMiriam Jankalová, University of Zilina, SlovakiaMohamed Abdel Rahman Salih, Taibah University, Saudi ArabiaMohamed Rochdi Keffala, University of Kairouan, TunisiaMongi Arfaoui, University of Monastir, TunisiaMonika Wieczorek, University of Economics in Katowice, PolandMuath Eleswed, American University of Kuwait, USAOnur Köprülü, Mersin University, TurkeyRadoslav Jankal, University of Zilina, SlovakiaRoxanne Helm Stevens, Azusa Pacific University, USASerhii Kozlovskiy, Donetsk National University, UkraineShun Mun Helen Wong, The Hong Kong Polytechnic University, Hong KongSumathisri Bhoopalan, Sastra University, IndiaValeria Stefanelli, Università del Salento, ItalyVincent Grèzes, University of Applied Sciences Western Switzerland (HES-SO Valais-Wallis), SwitzerlandYan 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 | 0.048 | 0.385 |
| 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 | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.121 | 0.083 |
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".