أثر جائحة فيروس كورونا كوفيد- 19 على مؤشرات الاقتصاد العالمي خلال الربع الأول من سنة 2020 - مع الإشارة إلى حالة الاقتصاد الجزائري
Bibliographic record
Abstract
تهدف هذه الدراسة إلى محاولة التعرف على أثر جائحة فيروس كورونا كوفيد-19 على أهم مؤشرات الاقتصاد العالمي، مع الإشارة إلى حالة الاقتصاد الجزائري خلال الربع الأول من سنة 2020، ولتحقيق أهداف الدراسة تم تحليل العديد من الإحصائيات والتقرير العالمية. أظهرت نتائج الدراسة أن الجائحة أدت خلال الربع الأول من سنة 2020 إلى خفض حجم التبادلات التجارية العالمية ومعدل النمو العالمي وأسعار الطاقة والنفط. This study aims to try to identify the impact of the Coronavirus Covid-19 pandemic on the most important indicators of the global economy, with reference to the state of the Algerian economy during the first quarter of 2020, and to achieve the objectives of the study, many global statistics and report were analyzed. The results of the study showed that the pandemic led during the first quarter of 2020 to reducing the volume of global trade exchanges, the global growth rate, and the prices of energy and oil.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".