Reviewer Acknowledgements for World Journal of English Language, Vol. 16, No. 1
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 16, Number 1Abderrazak Zaafour, Abdelmalek Essaâdi University, MoroccoAbdul Syahid, Institut Agama Islam Negeri Palangka Raya, IndonesiaAby John, RUDN University, IndiaAisha Bhatti, Prince Sattam Bin Abdulaziz University, Saudi ArabiaAntonio Piga, University of Cagliari, ItalyAravind B R, Kalasalingam Academy of Research and Education, IndiaAyman Khafaga, Suez Canal University, EgyptBahar S.Pd.,.M.Hum, Fajar University Makassar, IndonesiaBatoul Mohammed Alnijres, Prince Sattam Bin Abdulaziz University, Saudi ArabiaBilal Ibrahim Alsharif, Alzaytoonah University of Jordan, JordanCarol Kingston, Spicer Adventist University, IndiaChunlin Yao, Tianjin Chengjian University, ChinaDjoko Sutrisno, Universitas Ahmad Dahlan, Yogyakarta, IndonesiaDon Anton Balida, International College of Engineering and Management, OmanEryansyah, M.A., Sriwijaya University, IndonesiaFang Li, Wuhan Vocational College of Software and Engineering (Wuhan Open University), ChinaFarzana Akhter, East West University, BangladeshGhazwan Mohammed Saeed Mohammed, University of Bisha, Saudi ArabiaHan Van Ho, Nguyen Tat Thanh University, Ho Chi Minh City, Viet NamHartwell Norman M. Merza, Don Mariano Marcos Memorial State University, PhilippinesHerman, Universitas HKBP Nommensen Pematangsiantar, IndonesiaHossein Salarian, University of Tehran, IranHussain Hamid Ali Ghazzaly, Al-Azhar University, EgyptInayatullah Kakepoto, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, PakistanJaypee R. Lopres, Gallup McKinley County Schools, New Mexico Public Education Department, USAK. Shaheen, Madanapalle Institute of Technology & Science (MITS), IndiaKamaludin Yusra, University of Mataram, IndonesiaKaya özçelik, Mudanya University, TurkeyKonstantinos M Pitychoutis, American University of the Middle East, KuwaitKristiawan Indriyanto, Universitas Prima Indonesia, IndonesiaKusuma Bangkom, King Mongkut’s University of Technology North Bangkok, ThailandL. Santhosh Kumar, Kristu Jayanti College ( Autonomous), IndiaLeila Lomashvili, Shawnee State University, USALihong Ding, Lanzhou University of Arts and Sciences, ChinaMade Susini, Warmadewa University, IndonesiaManizheh Alami, University of Technology and Applied Sciences-Ibri, OmanMariam Titilope Olugbodi, Kwara State University, Malete, Nigeria Maricel Demoral Rivera, Cebu Normal University, PhilippinesMaroua Benhamlaoui, University of Fréres Mentouri- Constantine 1, AlgeriaMorteza Amirsheibani, Tashkent Institute of Economics and Pedagogy (TIPI), UzbekistanMounir Jilani Ben Zid, Sultan Qaboos University, OmanMuhammad Farkhan, Universitas Islam Negeri Syarif Hidayatullah Jakarta, IndonesiaMuhammad Mooneeb Ali, HED punjab, PakistanMusa Saleh, Qimam Al-Ulum Institute for Languages, Saudi ArabiaOlena Andrushenko, Universität Augsburg, GermanyOmsalma Ahmed, University of Hail, Saudi ArabiaP. Jayakumar, St. Joseph’s College of Engineering, IndiaP. PRIYADHARSHINI, Thiagarajar Engineering College, Madurai, IndiaPatsawut Sukserm, Chulalongkorn University Language Institute (CULI), ThailandPushpanathan Thiruvengadam, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, IndiaR.Subhashini, Saveetha Engineering College (Affiliated to Anna University), IndiaRahmat Budiman, Universitas Terbuka, IndonesiaRajesh K, Sri Sairam Engineering College, IndiaRamesh Manickkam, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, IndiaRana Abdul Settar Abid, University of Basrah, IraqRukaiza Khan, National University of Sciences & Technology , PakistanS. Priya, Subbalakshmi Lakshmipathy College of Science, IndiaS. V. Dhanawade, Vivekanand College(Autonomous) Kolhapur, IndiaSaif Ali Abbas Jumaah, University of Mosul, IraqSamikshya1 Bidari, Hosei University, JapanSandra Carmel Sophia, Koneru Lakshmaiah Education Foundation, IndiaSantri Djahimo, Nusa Cendana University, IndonesiaŞenel, Müfit, 19 Mayıs University, TurkeyServais Dieu-Donné Yédia DADJO, University of Abomey-Calavi, BeninSheikha Al-Buraiki, Sohar University, Sultanate of OmanShikha Sharma, SRM University, IndiaSri Hardiningsih, POLITEKNIK NEGERI SEMARANG, IndonesiaSujani Tata, Sri Vasavi Engineering College JNTUniversity Kakinada, IndiaTeguh Budiharso, State Institute of Islamic Studies (IAIN) of Surakarta, IndonesiaTheng Theng Ong, The University of Nottingham Malaysia, MalaysiaVipin Sharma, Jazan University, Jazan, Saudi ArabiaWahaj Unnisa Warda, Prince Sattam Bin Abdulaziz University, Saudi ArabiaWei Lun Wong, Universiti Kebangsaan Malaysia, MalaysiaWei Wang, Xi’an International Studies University, China
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 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 | 0.045 | 0.459 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.117 | 0.081 |
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".