Bibliographic record
Abstract
Journal of Education and Training Studies (JETS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether JETS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 5, Number 5Abdulhamit Cakir, TurkeyAnne M. Hornak, Central Michigan University, USAArlene Kent-Wilkinson, University of Saskatchewan, CanadaChosang Tendhar, Baylor College of Medicine, USACynthia M. Compton, Wingate University, USADavid A. Compton, Wingate University, USADerya Çelik, Karadeniz Technical University, TurkeyDuygu Turkoglu, TurkeyEnisa Mede, Bahcesehir University, TurkeyErcan Gür, Fırat University, TurkeyErica D. Shifflet-Chila, Michigan State University, USAEsra Gecikli, TurkeyGulgun Sertkaya, TurkeyIntakhab Khan, King Abdulaziz University, Saudi ArabiaJeyavel Sundaramoorthy, Gulbarga University Campus, IndiaLaima Kyburiene, Kaunas University of Applied Sciences, LithuaniaLisa Marie Portugal, Grand Canyon University, USALorna T. Enerva, Polytechnic University of the Philippines, PhilippinesMarcie Zaharee, The MITRE Corporation, USAMaria Pavlis Korres, Hellenic Open University, GreeceMarieke van der Schaaf, Utrecht University, The NetherlandsMatthews Tiwaone Mkandawire, Central China Normal University, MalawiMehmet Inan, Marmara University, TurkeyMeral Seker, Alanya Alaaddin Keykubat University, TurkeyMin Gui, Wuhan University, ChinaMustafa Çakır, Marmara Üniversity, TurkeyNiveen M. Zayed, MENA College of Management, JordanÖzgün Uyanik, Afyon Kocatepe University, TurkeyPirkko Siklander, University of Lapland, FinlandRichard H. Martin, Mercer University, USARichard Penny, University of Washington Bothell, USASadia Batool, Preston University Islamabad, PakistanSelin Cenberci, NEU, TurkeySelma Civar, Süleyman Demirel University, TurkeySimona Savelli, Università degli Studi Guglielmo Marconi, ItalyThomas K. F. Chiu, The University of Hong Kong, Hong KongTuğba Horzum, Necmettin Erbakan University, TurkeyVeronica Rosa, University Rome, ItalyYalçın Dilekli, Aksaray University, TurkeyYi Lu, American Institute for Research, USAYücel Gelişili, Gazi University, TurkeyZachary Wahl-Alexander, Northern Illinois University, USA Robert SmithEditorial AssistantOn behalf of,The Editorial Board of Journal of Education and Training StudiesRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://jets.redfame.com
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 | 0.060 | 0.592 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.012 | 0.008 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.119 | 0.064 |
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".