Reviewer Acknowledgements for World Journal of English Language, Vol. 14, 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 14, Number 1Abdul Syahid, Institut Agama Islam Negeri Palangka Raya, IndonesiaAbdulfattah Omar, The Australian National University, AustraliaAli Hussein Hazem, University of Patras, GreeceAmer M Th Ahmed, Dhofar University, OmanAnna Maria Kuzio, University of Zielona Gora, PolandAntonio Piga, University of Cagliari, ItalyAravind B R, Kalasalingam Academy of Research and Education, IndiaAtyaf Hasan Ibrahim, Al Iraqia University, IraqAyman Khafaga, Suez Canal University, EgyptBadri Abdulhakim Mudhsh, University of Technology and Applied Sciences, OmanBeibei Ren, University of South Florida, USABerhane Gerencheal, Aksum University, EthiopiaChristian Jay Olandria Syting, University of Mindanao, PhilippinesDeena Elshazly, Arab Academy for Science, Technology and Maritime Transport, EgyptDon Anton Balida, International College of Engineering and Management, OmanFatma Abusrewel, The University of Tripoli, LibyaGhazwan Mohammed Saeed Mohammed, University of Bisha, Saudi ArabiaHossein Salarian, University of Tehran, IranHouaria Chaal, Hassiba Ben Bouali University of Chlef, AlgeriaHussain Hamid Ali Ghazzaly, Al-Azhar University, EgyptInayatullah Kakepoto, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, PakistanJamal Uthman Nogoud, University of Buraimi, OmanJergen Jel A. Cinco- Labaria, Western Philippines University, PhilippinesJunhua Peng, Anshun University/Universiti Putra Malaysia, ChinaKanthimathi Krishnasamy, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, IndiaKristiawan Indriyanto, Universitas Prima Indonesia, IndonesiaL. Santhosh Kumar, Kristu Jayanti College ( Autonomous), IndiaLihong Ding, Lanzhou University of Arts and Sciences, ChinaMaria Isabel Maldonado Garcia, University of the Punjab, PakistanMeenakshi Sharma Yadav, King Khalid University, Abha, Saudi ArabiaMelania Terrazas Gallego, University of La Rioja, SpainMohamad Amin Shirkhani, University of sistan and baluchestan, IranMohamad Fadhili bin Yahaya, Universiti Teknologi Mara Perlis Branch, MalaysiaMohammed AbdAlgane, Qassim University, Saudi ArabiaMuhammad Farkhan, Universitas Islam Negeri Syarif Hidayatullah Jakarta, IndonesiaMuhammad Mooneeb Ali, HED punjab, PakistanMuhammed Ibrahim Hamood, University of Mosul, IraqMundi Rahayu, Universitas Islam Negeri Maulana Malik Ibrahim Malang, IndonesiaMusa Saleh, Qimam Al-Ulum Institute for Languages, Saudi ArabiaNing Li, Guangdong Pharmaceutical University (GDPU), ChinaNuriadi Nuriadi, University of Mataram, IndonesiaOlena Andrushenko, Universität Augsburg, GermanyOmar (Mohammad-Ameen) Hazaymeh, Al-Balqa Applied University / Al-Huson University College, JordanÖzkanal, Ümit, Eskisehir Osmangazi University, TurkeyP. Jayakumar, St. Joseph’s College of Engineering, IndiaPhyll Jhann Gildore, University of Mindanao, PhilippinesRaeesabegam Usmani, NMIMS University, Hyderabad Campus, IndiaRamesh Manickkam, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, IndiaReimundus Raymond Fatubun, Cenderawasih University, Jayapura, IndonesiaS. V. Dhanawade, Vivekanand College(Autonomous) Kolhapur, IndiaSaif Ali Abbas Jumaah, University of Mosul, IraqSara Mansouri, Islamic Azad University-Najafabad branch, IranŞenel, Müfit, 19 Mayıs University, TurkeyServais Dieu-Donné Yédia DADJO, University of Abomey-Calavi, BeninSohaib Alam, College of Sciences and Humanities, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi ArabiaWahaj Unnisa Warda, Prince Sattam Bin Abdulaziz University, Saudi ArabiaWARID BIN MIHAT, Academy of Language Studies, MARA University of Technology (UiTM), MalaysiaYi-Zhen Chang, National Taipei University of Business, Taiwan
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 | 0.050 | 0.492 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.103 | 0.067 |
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".