Fish diversity and fisheries in the Caspian Sea and Aral–Syr Darya basin in the Republic of Kazakhstan at the beginning of the 21st Century
Bibliographic record
Abstract
For many years fishing was one of the most important human activities in the Caspian Sea and Aral-Syr Darya basin. This article summarizes the results of research conducted by the authors during 1991–2010. Drastic shifts in commercial fish catches as well as in fish diversity were revealed for both the Caspian Sea and the Aral-Syr Darya areas as a result of overfishing, poaching, exotic species introduction, and habitat alterations. The policies of the government authorities in the field of nature protection, especially those involving fish resources, may be characterized by the adoption of controversial and inconsistent decisions and subsequent restructuring of those state institutions charged with nature protection that resulted. These policies did not promote sustainable use of nature resources and will have long-lasting impacts on the protection of fish and other aquatic biological resources. Some recommendations are provided for attaining sustainable fisheries management in the North Caspian and Aral regions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".