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Record W4238803368 · doi:10.11114/jets.v6i12.3823

Reviewer Acknowledgements

2018· article· en· W4238803368 on OpenAlexaboutno aff
Robert Smith

Bibliographic record

VenueJournal of Education and Training Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceUniversity educationTechnical universityUniversity campusIslamUniversity hospitalSociologyHigher educationPolitical scienceGeographyMedicineArchaeologyComputer scienceFamily medicineLaw

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 6, Number 12Benmarrakchi Fatimaezzahra, Chouaib Doukkali University, MoroccoCagla Atmaca, Pamukkale University, TurkeyDeniz Melanlioğlu, Kırıkkale University, TurkeyEbru Uzunkol, Sakarya University, TurkeyEnisa Mede, Bahcesehir University, TurkeyFatih Kaya, Erzincan University, TurkeyFroilan D. Mobo, Philippine Merchant Marine Academy, PhilippineGözde Ersöz, Namık Kemal University, TurkeyHakan Acar, Zonguldak Bulent Ecevit University, TurkeyHalil Tanir, Adnan Menderes University, TurkeyHayriye Gül Kuruyer, Ordu Universty, TurkeyHsiu-Fen Lin, Rutgers, the State University of New Jersey, Taiwanİbrahim Erdemir, Balikesir University, TurkeyIntakhab Khan, King Abdulaziz University, Saudi ArabiaJohn Cowan, Edinburgh Napier University, UKLawrence R. Burns, Grand Valley State University, USALinda J. Rappel, Yorkville University/University of Calgary, CanadaLorna T. Enerva, Polytechnic University of the Philippines, PhilippinesMahmoud Radwan, Tanta University, EgyptMaria Pavlis Korres, Hellenic Open University, GreeceMary Sciaraffa, Eastern Kentucky University, USAMassimiliano Barattucci, Ecampus University, ItalyMehmet Fatih Karahüseyinoğlu, Firat University, TurkeyMehmet Inan, Marmara University, TurkeyMeral Seker, Alanya Alaaddin Keykubat University, TurkeyMichael Baron, University of Melbourne, AustraliaNiveen M. Zayed, MENA College of Management, JordanSamad Mirza Suzani, Islamic Azad University, IranSelloane Pitikoe, University of Kwazulu-Natal, South AfricaShu-wen Lin, Sojo University, JapanStamatis Papadakis, University of Crete, GreeceVeronica Rosa, University Rome, ItalyRobert 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 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)0.059
metaresearch head score (Gemma)0.570
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.442

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0590.570
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0130.008
Science and technology studies0.0050.003
Scholarly communication0.0140.009
Open science0.0060.006
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.1320.073

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 head0.130
GPT teacher head0.450
Teacher spread0.320 · 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
Domainnot available
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
Published2018
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