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 an effort to cope with the problems that arose as a result of the pandemic and led to a decrease in the volume of the economies, the BRICS countries are helping each other by expanding Intra-group economic cooperation. One of the innovative forms of their interaction is the development of e-commerce of the five countries. The relevance of the study is due to the fact that e-commerce is a driver of economic growth in developing countries, including the BRICS countries. The study concluded that China is the world's largest e-commerce market. It was revealed that the Internet of things, cloud computing, etc. contribute to the growth of this sector of the economy. It is noted that despite the fact that Russia has the largest number of Internet users in Europe, the volume of e-commerce in the country is small. The conclusion is made about the prospects for further development of e-commerce in the BRICS countries, about the importance of stimulating this process. As a result of the study, the advantages and bottlenecks of e-commerce, as well as the main directions of its development in the BRICS countries, were identified.
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) | 0.002 | 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