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 6, Number 5Ali Kızılet, Marmara University, TurkeyAntónio Calha, Polytechnic Institute of Portalegre, PortugalCagla Atmaca, Pamukkale University, TurkeyCarmen Pérez-Sabater, Universitat Poltècnica de València, SpainElena Jerves, University of Cuenca, EcuadorErcan Polat, TurkeyErickzon Astorga, The Metropolitan University of Educational Sciences, ChileFatih Karahüseyinoğlu, Fırat University, TurkeyFatih Yazici, Gaziosmanpaşa University, Turkeyİbrahim Yaşar Kazu, Firat University, TurkeyJon S. Turner, Missouri State University, USAKatya De Giovanni, University of Malta, MaltaLaima Kyburiene, Kaunas University of Applied Sciences, LithuaniaLaura Bruno, The College of New Jersey, USALinda J. Rappel, Yorkville University/University of Calgary, CanadaLisa Marie Portugal, Grand Canyon University, USALorna T. Enerva, Polytechnic University of the Philippines, PhilippinesMassimiliano Barattucci, Ecampus University, ItalyMeral Seker, Alanya Alaaddin Keykubat University, TurkeyMin Gui, Wuhan University, ChinaMurat Kul, TurkeyMustafa Çakır, Marmara Üniversity, TurkeyNicole Celestine, The University of Western Australia, AustraliaOzgur Demirtas, Inonu University, TurkeyPuneet S. Gill, Texas A&M International University, USARichard H. Martin, Mercer University, USASadia Batool, Preston University Islamabad, PakistanSamad Mirza Suzani, Islamic Azad University, IranSandro Sehic, Oneida BOCES, USASelloane Pitikoe, University of Kwazulu-Natal, South AfricaSenem Seda Şahenk Erkan, Marmara University, TurkeySisi Chen, American University of Health Sciences, USAStamatis Papadakis, University of Crete, GreeceTercan Yildirim, Ahi Evran University, TurkeyYalçın Dilekli, Aksaray University, Turkey 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 | 0.062 | 0.583 |
| 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) | 0.121 | 0.066 |
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".