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Record W4247696237 · doi:10.5539/ibr.v10n4p199

Reviewer Acknowledgements for International Business Research, Vol. 10, No. 4

2017· article· en· W4247696237 on OpenAlexvenueaboutno aff
Kevin Duran

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary sciencePolitical scienceManagementMedia studiesSociologyEconomics

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 4 Abderrazek Hassen Elkhaldi, University of Sousse, TunisiaAlina Badulescu, University of Oradea, RomaniaAlireza Athari, Eastern Mediterranean University, IranAmaresh C. Das, Southern University at New Orleans, USAAmran Awang, Head of Entrepreneurship Center, MalaysiaAndrea Carosi, University of Sassari, ItalyAnna Paola Micheli, Univrtsity of Cassino and Southern Lazio, ItalyAntônio André Cunha Callado, Universidade Federal Rural de Pernmabuco, BrazilArash Riasi, University of Delaware, USAAshford C Chea, Benedict College, USABenjamin James Inyang, University of Calabar, NigeriaBrian Sheehan, Thaksin University, AustraliaBruno Marsigalia, University of Casino and Southern Lazio, ItalyCheng Jing, eBay, Inc. / University of Rochester, USACristian Marian Barbu, “ARTIFEX” University, RomaniaEva Mira Bolfíková, Univerzity of P. J. Šafárik in Košice, Slovak Republic,Fevzi Esen, Istanbul Medeniyet University, TurkeyFrancesco Ciampi, Florence University, ItalyGeorgeta Dragomir, “Danubius” University of Galati, RomaniaGianluca Ginesti, University of Naples “FEDERICO II”, ItalyGiuseppe Russo, University of Cassino and Southern Lazio, ItalyHanna Trojanowska, Warsaw University of Technology, PolandHerald Monis, Milagres College, IndiaIvo De Loo, Nyenrode Business University, The NetherlandsKaren Gulliver, Argosy University, Twin Cities, USAKherchi Ishak, University of Hassiba Ben Bouali De Chlef, AlgeriaLadislav Mura, University of Ss. Cyril and Methodius in Trnava, SlovakiaLuisa Pinto, University of Porto School of Economics, PortugalMansour Esmaeil Zaei, Panjab University, India/IranManuela Rozalia Gabor, “Petru Maior” University of Tîrgu Mureş Romania, RomaniaMarcelino José Jorge, Evandro Chagas Clinical Research Institute of Oswaldo Cruz Foundation, BrazilMaria Teresa Bianchi, UNIVERSITY OF ROME “LA SAPIENZA”, ItalyMiriam Jankalová, University of Zilina, SlovakiaMohamed Abdel Rahman Salih, Taibah University, Saudi ArabiaMohsen Malekalketab Khiabani, University Technology Malaysia, MalaysiaMongi Arfaoui, University of Monastir, TunisiaMuath Eleswed, American University of Kuwait, USAOzgur Demirtas, Turkish Air Force Academy, TurkeyProsper Senyo Koto, Dalhousie University, CanadaRadoslav Jankal, University of Zilina, SlovakiaRoberto Campos da Rocha Miranda, University Center Iesb, BrazilRosa Lombardi, Sapienza University of Rome, ItalySerhii Kozlovskiy, Donetsk National University, UkraineSumathisri Bhoopalan, Sastra University, IndiaWejdene Yangui, Institute of High Business Studies of Sfax _ Tunisia (IHEC), TunisiaWing-Keung Wong, Asia University, Taiwan, China

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)0.005
metaresearch head score (Gemma)0.113
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Open science, 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 score0.271
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.113
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0080.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.009

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 head0.146
GPT teacher head0.423
Teacher spread0.276 · 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 routes2
Has abstractyes

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