Bibliographic record
Abstract
В статье рассматриваются современные тенденции развития аквакультуры как в глобальном, так и национальном аспекте. Представленная аналитическая информация позволяет определить предпосылки для поиска интенсивных путей развития аквакультуры. Проанализированы ключевые аспекты развития интегрированных мульти трофических систем в аквакультуре (ИМТА) с позиции экологических и экономических показателей устойчивости, показана взаимосвязь ИМТА с достижением целей устойчивого развития, задекларированных на уровне ООН. Проанализирован практический опыт использования ИМТА в Китае, Канаде и других странах с позиции обеспечения экономических и экологических эффектов. Представлены основные цели развития аквакультуры в контексте реализации Стратегии развития рыбохозяйственного комплекса Российской Федерации на период до 2030г., дана оценка достижения поставленных целей через реализацию систем ИМТА. The article examines the current trends in the development of aquaculture in both global and national aspects. The presented analytical information allows us to determine the prerequisites for the search for intensive ways to develop aquaculture. The key aspects of the development of integrated multigraphic systems in aquaculture (IMTA) from the perspective of environmental and economic indicators of sustainability are analyzed, the relationship of IMTA with the achievement of sustainable development goals declared at the UN level is shown. The practical experience of using IMTA in China, Canada and other countries is analyzed from the perspective of ensuring economic and environmental effects. The main objectives of the development of aquaculture in the context of the implementation of the Strategy for the development of the fisheries complex of the Russian Federation for the period up to 2030 are presented, an assessment of the achievement of these goals through the implementation of IMTA systems is given.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.006 |
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".