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 7, Number 2Arlene Kent-Wilkinson, University of Saskatchewan, CanadaBenmarrakchi Fatimaezzahra, Chouaib Doukkali University, MoroccoCarmen Pérez-Sabater, Universitat Poltècnica de València, SpainEkrem Levent İlhan, University of Gazi, TurkeyErman Öncü, Karadeniz Technical University, TurkeyFatma Ozudogru, Usak University, TurkeyHanifi Parlar, İstanbul Commerce University, TurkeyHelena Reis, Polytechnic Institute of Leiria, PortugalHüseyin Gümüş, University of Mersin, Turkeyİbrahim Yaşar Kazu, Firat University, TurkeyIntakhab Khan, King Abdulaziz University, Saudi ArabiaJohn Bosco Azigwe, Bolgatanga Polytechnic, GhanaJohn Cowan, Edinburgh Napier University, UKJon S. Turner, Missouri State University, USAJonathan Chitiyo, University of Pittsburgh Bradford, USALorna T. Enerva, Polytechnic University of the Philippines, PhilippinesMaria Pavlis Korres, Hellenic Open University, GreeceMary Sciaraffa, Eastern Kentucky University, USAMassimiliano Barattucci, Ecampus University, ItalyMichael Wall, Independent Researcher in Music and Music Education, USARamazan Cansoy, Karabük University, TurkeyRichard Penny, University of Washington Bothell, USASadia Batool, Preston University Islamabad, PakistanSamson Chama, Alabama A & M University, USASandro Sehic, Oneida BOCES, USASenem Seda Şahenk Erkan, Marmara University, TurkeyShu-wen Lin, Sojo University, JapanStamatis 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, USAURL: http://jets.redfame.com
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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 | 0.057 | 0.565 |
| 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 | 0.010 |
| Insufficient payload (model declined to judge) | 0.121 | 0.070 |
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".