Reviewer Acknowledgements for Journal of Education and Training Studies, Vol. 13, No. 3
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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 13, Number 3 Ahmadreza Mohebbi, University of Auckland, New ZealandAlphonce John Amuli, ADEM, TanzaniaAnoma Samanthi Perera, Australian College of Business and Technology, Sri LankaArdalan Kaveh, Islamic Azad University, IranEhab Gouda Tolba, Mansoura University, EgyptHelena Reis, Polytechnic Institute of Leiria, PortugalHossein Chaharbashloo, Kharazmi University, IranJacinthe Rihan, Ain Shams University, EgyptJoel Maligaya Cuadra, NU Laguna, PhilippinesJohn Cowan, Edinburgh Napier University, UKJohn Mark Asio, Gordon College, PhilippinesJulio Cesar André, Center for Studies and Development of Health Education-CEDES, BrazilKendall Hartley, University of Nevada, USAKun Yu, Universiti Putra Malaysia, ChinaLinda J. Rappel, Yorkville University/University of Calgary, CanadaMaria Pavlis Korres, Hellenic Open University, GreeceMartin Kölbel, University College of Teacher Training Vienna, AustriaMustafa Çakır, Marmara University, TurkeyNiveen M. Zayed, MENA College of Management, JordanRichard Penny, University of Washington Bothell, USA Robert SmithEditorial AssistantOn behalf of, The Editorial Board of Journal of Education and Training StudiesRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAE-mail: jets@redfame.comURL: 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.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it