Reviewer Acknowledgements for World Journal of English Language, Vol. 13, No. 5
Bibliographic record
Abstract
World Journal of English Language 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.World Journal of English Language is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: wjel@sciedupress.comReviewers for Volume 13, Number 5Acep Unang Rahayu, Poltekpar NHI Bandung, IndonesiaAli Hussein Hazem, University of Patras, GreeceAndrés Canga, University of La Rioja, SpainAnna Maria Kuzio, University of Zielona Gora, PolandAntonio Piga, University of Cagliari, ItalyAyman Khafaga, Suez Canal University, EgyptAyman Rashad Rashid Yasin, PRINCESS SUMAYA UNIVERSITY FOR TECHNOLOGY, JordanBahram Kazemian, Islamic Azad University, IranDaniel Ginting, Universitas Ma Chung, IndonesiaDon Anton Balida, International College of Engineering and Management, OmanElena Alcalde Peñalver, University of Alcalá, SpainFatma Abusrewel, The University of Tripoli, LibyaFrans Sayogie, Universitas Islam Negeri Syarif Hidayatullah Jakarta, IndonesiaFridrik Dulaj, University Fehmi Agani Gjakova, AlbaniaG. Bhuvaneswari, Vellore Institute of Technology, Chennai, India, IndiaHameed Yahya Ahmed Al-Zubeiry, Al-Baha University, Saudi ArabiaHerman, Universitas HKBP Nommensen Pematangsiantar, IndonesiaHossein Salarian, University of Tehran, IranHouaria Chaal, Hassiba Ben Bouali University of Chlef, AlgeriaInayatullah Kakepoto, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, PakistanJânderson Coswosk, Instituto Federal do Espírito Santo, BrazilJergen Jel A. Cinco- Labaria, Western Philippines University, PhilippinesKanthimathi Krishnasamy, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, IndiaKristiawan Indriyanto, Universitas Prima Indonesia, IndonesiaL. Santhosh Kumar, Kristu Jayanti College (Autonomous), IndiaLeila Lomashvili, Shawnee State University, USALi Ping Chang, National Taipei College of Business, TaiwanMaria Isabel Maldonado Garcia, University of the Punjab, PakistanMeenakshi Sharma Yadav, King Khalid University, Abha, Saudi ArabiaMohamad Fadhili bin Yahaya, Universiti Teknologi Mara Perlis Branch, MalaysiaMohammad Hamad Al-khresheh, Northern Border University, Saudi ArabiaMuhammad Mooneeb Ali, HED punjab, PakistanMuhammed Ibrahim Hamood, University of Mosul, IraqMusa Saleh, Qimam Al-Ulum Institute for Languages, Saudi ArabiaNing Li, Guangdong Pharmaceutical University (GDPU), ChinaNitin Malhotra, Gobindgarh Public College, IndiaNuriadi Nuriadi, University of Mataram, IndonesiaOlena Andrushenko, Universität Augsburg , GermanyOmsalma Ahmed, University of Hail, Saudi ArabiaÖzkanal, Ümit, Eskisehir Osmangazi University, TurkeySaif Ali Abbas Jumaah, University Of Mosul College Of Arts Dept. Media and English Communication, IraqSantri Djahimo, Nusa Cendana University, IndonesiaŞenel, Müfit, 19 Mayıs University, TurkeyServais Dieu-Donné Yédia DADJO, University of Abomey-Calavi, BeninShalini Yadav, Compucom Institute of Technology and Management, IndiaValeria Silva de Oliveira, Marinha do Brasil, BrazilWARID BIN MIHAT, Academy of Language Studies, MARA University of Technology (UiTM), MalaysiaZaldy Maglay Quines, ROYAL COMMISSION FOR JUBAIL AND YANBU, Saudi Arabia
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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 | 0.002 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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 teacher head, 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".