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Record W4256341891 · doi:10.5539/ibr.v10n8p257

Reviewer Acknowledgements for International Business Research, Vol. 10, No. 8

2017· article· en· W4256341891 on OpenAlexvenueno aff
Kevin Duran

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceStrategic studiesTechnical universityPolitical scienceManagementSociologyLawComputer scienceEconomics

Abstract

fetched live from OpenAlex

International Business Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.International Business Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://recruitment.ccsenet.org and e-mail the completed application form to ibr@ccsenet.org.Reviewers for Volume 10, Number 8 Alireza Athari, Eastern Mediterranean University, IranAnca Gabriela Turtureanu, “DANUBIUS” University Galati, RomaniaAnna Paola Micheli, Univrtsity of Cassino and Southern Lazio, ItalyArash Riasi, University of Delaware, USAAurelija Burinskiene, Vilnius Gediminas Technical University, LithuaniaBenjamin James Inyang, University of Calabar, NigeriaBrian Sheehan, Thaksin University, ThailandBruno Marsigalia, University of Casino and Southern Lazio, ItalyCelina Maria Olszak, University of Economics in Katowice, PolandFevzi Esen, Istanbul Medeniyet University, TurkeyFrancesco Ciampi, Florence University, ItalyGeorgeta Dragomir, “Danubius” University of Galati, RomaniaGianluca Ginesti, University of Naples “FEDERICO II”, ItalyGilberto Marquez-Illescas , Clarkson University , USAGuillaume Marceau, University of Aix-Marseille, FranceHanna Trojanowska, Warsaw University of Technology, PolandHerald Monis, Milagres College, IndiaHung-Che Wu, Nanfang College of Sun Yat-sen University, ChinaIonela-Corina Chersan, “Alexandru Ioan Cuza” University from Iași, RomaniaIvo De Loo, Nyenrode Business University, The NetherlandsKaren Gulliver, Argosy University, Twin Cities, USAL. Leo Franklin, Bharathidasn University, IndiaLadislav Mura, University of Ss. Cyril and Methodius in Trnava, SlovakiaManlio Del Giudice, University of Rome "Link Campus", ItalyManuela Rozalia Gabor, “Petru Maior” University of Tîrgu Mureş, RomaniaMaria João Guedes, University of Lisbon, PortugalMaria Teresa Bianchi, University of Rome “LA SAPIENZA”, ItalyMaria-Madela Abrudan, University of ORADEA, RomaniaMiriam Jankalová, University of Zilina, SlovakiaMiroslav Iordanov Mateev, American University, Dubai, UAEMithat Turhan, Mersin University, TurkeyMohamed Abdel Rahman Salih, Taibah University, Saudi ArabiaMohamed Rochdi Keffala, University of Kairouan, TunisiaMuath Eleswed, American University of Kuwait, USAOnur Köprülü, Mersin University, TurkeyOzgur Demirtas, Turkish Air Force Academy, TurkeyPascal Stiefenhofer, University of Brighton, UKRafiuddin Ahmed, James Cook University, AustraliaRoberto Campos da Rocha Miranda, University Center Iesb, BrazilRosa Lombardi, Sapienza University of Rome, ItalyRoxanne Helm Stevens, Azusa Pacific University, USASerhii Kozlovskiy, Donetsk National University, UkraineTariq Tawfeeq Yousif Alabdullah, University of Basrah, IraqValeria Stefanelli, Università del Salento, ItalyWejdene Yangui, Institute of High Business Studies of Sfax _ Tunisia (IHEC), TunisiaWing-Keung Wong, Asia University, Taiwan, ChinaYan Lu, University of Central Florida, USA

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 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)0.013
metaresearch head score (Gemma)0.353
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.340
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.353
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0050.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.014

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 head0.205
GPT teacher head0.502
Teacher spread0.298 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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