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Record W4393221306 · doi:10.11114/jets.v12i2.6840

Reviewer Acknowledgements for Journal of Education and Training Studies, Vol. 12, No. 2

2024· article· en· W4393221306 on OpenAlexaboutno aff
Robert J. Smith

Bibliographic record

VenueJournal of Education and Training Studies · 2024
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyMedical educationLibrary sciencePedagogyComputer scienceMedicine

Abstract

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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 2Alphonce John Amuli, ADEM, TanzaniaAnoma Samanthi Perera, Australian College of Business and Technology, Sri LankaAshraf Elsafty, Eslsca University, EgyptChosang Tendhar, Hackensack Meridian School of Medicine, USAChris Mutseekwa, Bindura University of Science Education, ZimbabweEbrahim Mohammadpour, Farhangian University , IranEhab Gouda Tolba, Dr_ehabtolba@hotmail.com, EgyptFathia Lahwal, Elmergib University, LibyaHassan Shaaban, Atomic energy Authority, EgyptHossein Chaharbashloo, Kharazmi University, IranJacinthe Rihan, Ain Shams University, EgyptJane Liang, California Department of Education, USAJingwu Yao, Business School of Yulin Normal University, ChinaJoel Maligaya Cuadra, NU Laguna, PhilippinesJohn Cowan, Edinburgh Napier University, UKJohn Mark Asio, Gordon College, PhilippinesJonathan Chitiyo, University of Pittsburgh Bradford, USAJulio Cesar André, Center for Studies and Development of Health Education-CEDES, BrazilKatya De Giovanni, University of Malta, MaltaKendall Hartley, University of Nevada, USALinda J. Rappel, Yorkville University/University of Calgary, CanadaMaurizio Sajeva, Pellervo Economic Research PTT, FinlandMichael Baron, University of Melbourne, AustraliaNiveen M. Zayed, MENA College of Management, JordanRichard H. Martin, Mercer University, USARichard Penny, University of Washington Bothell, USASelloane Pitikoe, University of Eswatini, EswatiniSenem Seda Şahenk Erkan, Marmara University, TurkeyShanita L. Pettaway, University of South Alabama, USASijia Liu, South China Normal University, ChinaStamatis Papadakis, University of Crete, GreeceRobert 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.076
metaresearch head score (Gemma)0.547
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0760.547
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0120.008
Science and technology studies0.0060.003
Scholarly communication0.0150.011
Open science0.0050.005
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.0610.031

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.

Opus teacher head0.198
GPT teacher head0.472
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainEvaluation
GenreOther

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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