Reviewer Acknowledgements for Journal of Education and Training Studies, Vol. 12, 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 12, Number 3 Ashraf Elsafty, Eslsca University, EgyptChris Mutseekwa, Bindura University of Science Education, ZimbabweEhab Gouda Tolba, Mansoura University, EgyptFathia Lahwal, Elmergib University, LibyaGianpiero Greco, University of Study of Bari, ItalyJacinthe Rihan, Ain Shams University, EgyptJoel Maligaya Cuadra, NU Laguna, PhilippinesJohn Mark Asio, Gordon College, PhilippinesJonathan Chitiyo, University of Pittsburgh Bradford, USAJuan Marcelo Gomez, Seneca Polytechnic, CanadaJulio Cesar André, Center for Studies and Development of Health Education-CEDES, BrazilLinda J. Rappel, Yorkville University/University of Calgary, CanadaMaria Pavlis Korres, Hellenic Open University, GreeceNiveen M. Zayed, MENA College of Management, JordanRichard H. Martin, Mercer University, USARichard Penny, University of Washington Bothell, USASabrine Chbichib, The Higher Institute of Computing and Multimedia Gabes Tunisia, TunisiaSenem Seda Şahenk Erkan, Marmara University, TurkeyStamatis Papadakis, University of Crete, Greece 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 | 0.005 |
| 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