The Journal of International Business and Economic Affairs
Bibliographic record
Abstract
The Journal of International Business and Economic Affairs ISSN 1916-8748 (On-line): Library & Archive Canada 4(1), 2013 Founder and Executive Director Ghada Gomaa A. Mohamed Editor-in-Chief Morrison Handley-Schachler Editorial Board (Alphabetically) Dr. Ghada Mohamed Assistant/ Associate Professor, King Abdulaziz University, Jeddah, Saudi Arabia Dr. Hala El-Ramly Associate Professor, the American University in Cairo, Egypt Dr. Hamdy Saleh President of the Arab-African Initiative, Cairo, Egypt Dr. Jyoti Navare Reader in Risk Management, Middlesex University, London, United Kingdom Dr. Manuch Irandoust Professor, United Arab Emirates, Al-Ain, Abu-Dhabi, UAE Dr. Monal Abdel-Baki Assistant/ Associate Professor, the American University in Cairo, Egypt Dr. Morrison Handley-Schachler Principal Lecturer, Teesside University, Middlesbrough, United Kingdom Dr. Nassr Ahmad Vice-Principal for Scientific Affairs, Academy of Graduate Studies, Tripoli, Libya Dr. Omneya Abd-Elsalaam Senior Lecturer, Aston University, United Kingdom Dr. Yongsheng Guo Senior Lecturer, Teesside University, Middlesbrough, United Kingdom Dr. Yosr El-Hamaqi Professor, Ain Shams University, Cairo, Egypt Dr. P. Malyadri Professor, Osmania University, India page Hadia FakhrElDin 1 A Balanced Participatory Knowledge Management Strategy in International Development Organizations: The Case of CIDA Egypt Ahmed Salama 31 Small, Medium Enterprises as a Driving Force for EgyptianEconomic Growth Dai Yun 49 A Route Map of Successful Knowledge Exchange https://epe.lac-bac.gc.ca/100/201/300/jrn_intl_business_econ_aff/2013/v4n01.pdf
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.109 | 0.058 |
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".