The Journal of International Business and Economic Affairs
Bibliographic record
Abstract
Journal of International Business and Economic AffairsISSN 1916-8748 (Online): Library & Archives Canada 1(1), 2010 Founder and Executive Director Ghada Gomaa A. Mohamed Editor-in-Chief Morrison Handley-Schachler Editorial BoardDr. Omneya Abd-ElsalaamSenior Lecturer, Aston University, United KingdomDr. Nassr AhmadVice-Principal for Scientific Affairs, Academy of Graduate Studies, Tripoli, Libya Dr. Yomn El-HamaqiProfessor and head of Economics department, Ain Shams University, Cairo, Egypt Dr. Hala El-RamlyAssociate Professor and Head of Economics Department, The American University in Cairo, Egypt Dr. Yongsheng Guo Senior Lecturer, Teesside University, Middlesbrough, United Kingdom Dr. Morrison Handley-Schachler Principal Lecturer, Teesside University, Middlesbrough, United Kingdom Dr. Manuch Irandoust Professor and head of Economics Department, United Arab Emirates University, Al- Ain, Abo Dhabi, UAE Dr. Ghada Mohamed President of ECO-ENA: Economics & Eco-Engineering Association, Inc., Canada Dr. Jyoti Navare Reader in Risk Management, Middlesex University, London, United Kingdom Dr. Hamdy Saleh President of the Arab-African Initiative, Cairo, Egypt page Thomas Henschel 1 Typology of Risk Management Practices: An Empirical Investigation into German SMEs Dai Yun 29 Knowledge Exchange Mechanisms between Higher Education Institutions and the Life Science Industry John Adams and Karlo Jouan 45 Financial Liberalization in Developing Economies: Theory and Evidence https://epe.lac-bac.gc.ca/100/201/300/jrn_intl_business_econ_aff/2010/v01n01.pdf
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.148 | 0.063 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".