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Record W4247621931 · doi:10.11114/jets.v6i1.2908

Reviewer Acknowledgements

2017· article· en· W4247621931 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Education and Training Studies · 2017
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceMatriculationTechnical universityUniversity educationUniversity hospitalClinical neuropsychologyHigher educationSociologyPolitical scienceMedicineMedical educationLaw

Abstract

fetched live from OpenAlex

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 1Brenda L. Shook, National University, USACagla Atmaca, Pamukkale University, TurkeyCarole Fern Todhunter, The University of Nottingham, UKCharlotte Alverson, University of Oregon, USAChosang Tendhar, Long Island University (LIU), USAEnisa Mede, Bahcesehir University, TurkeyErica D. Shifflet-Chila, Michigan State University, USAGreg Rickwood, Nipissing University, CanadaHyesoo Yoo, Virginia Tech., USAIoannis Syrmpas, University of Thessaly, GreeceJohn Cowan, Edinburgh Napier University, UKLinda J. Rappel, Yorkville University/University of Calgary, CanadaMan-fung Lo, The Hong Kong Polytechnic University, Hong KongMassimiliano Barattucci, Ecampus University, ItalyMaurizio Sajeva, Pellervo Economic Research PTT, FinlandMehmet Inan, Marmara University, TurkeyMichail Kalogiannakis, University of Crete, GreeceMin Gui, Wuhan University, ChinaNerina Fernanda Sarthou, Universidad Nacional del Centro de la Provincia de Buenos Aires, ArgentinaPirkko Siklander, University of Lapland, FinlandRichard H. Martin, Mercer University, USARichard Penny, University of Washington Bothell, USARiyadh Tariq Kadhim Al-Ameedi, Babylon University, IraqRufaidah Kamal Abdulmajeed, Baghdad University, IraqSadia Batool, Preston University Islamabad, PakistanSelloane Pitikoe, University of Kwazulu-Natal, South AfricaSenem Seda Şahenk Erkan, Marmara University, TurkeySeyyedeh Mina Hamedi, Ferdowsi University of Mashhad, IranSisi Chen, American University of Health Sciences, USATilanka Chandrasekera, Oklahoma State University, USAYalçın Dilekli, Aksaray University, TurkeyYerlan Seisenbekov, Kazakh National Pedagogical University, KazakhstanYi Lu, American Institute for Research, USAYuChun Chen, Louisiana Tech University, USARobert 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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.241
GPT teacher head0.496
Teacher spread0.255 · 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