Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2010, Vietnam achieved a total import-export turnover of US $ 154 billion, but by 2019, that number increased more than tripled, reaching over $ 500 billion. In 2020, while the context of complicated developments of the outbreak COVID-19 in the world, disrupting supply chain in international trade, Vietnam's merchandise exports remained the rising trend and exerted a positive impact on economic growth. In the article, the research team will present the results of examining the current situation of Vietnam's exports and economic growth in the period 2005 - 2019 and the first 9 months of 2020. By using Eview8 software to analyze the data series compiled every quarter in the period 2005 - 2019, the research team evaluated the impact of exports on Vietnam's economic growth in this period and pointed out some problems for export activities of Vietnam. Besides, the research team also considers the opportunities and challenges for export activities in the context of the COVID-19 pandemic. Finally, the research team made some recommendations to boost Vietnam's exports in the context of the COVID 19 pandemic.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it