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
Natural resources and ecology; -Economics and management, digital platforms in the agro-industrial complex.More than 100 leading scientists from Russia, Belarus, Kazakhstan, Kyrgyzstan, Uzbekistan, Armenia, Afghanistan, Tajikistan, Azerbaijan, and the People's Republic of China took part in the work of the International Scientific and Practical Conference.The organizing committee of the international conference received 98 manuscripts, 68 of which received positive feedback.Within the framework of the international conference, issues of sustainable development of agriculture were discussed, the main problems hindering innovative directions in the agricultural sector of the economy, a number of modern approaches, including foreign ones, were identified.Achievements of scientific teams and practical experience of leading experts, presented at the international conference, will contribute to the further development of the agroindustrial complex.The results of the international conference will be useful to all its participants, and the proposed recommendations will find their application in the further scientific and practical activities of each of them.
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) | 0.001 | 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