Management of the Nile perch, <i>Lates niloticus</i> fishery in Lake Victoria in light of the changes in its life history characteristics
Bibliographic record
Abstract
Abstract Nile perch was introduced into lakes Victoria and Kyoga in the 1950s and 1960s from Lake Albert. The changes in prey eaten and the life history characteristics of Nile perch in lakes Victoria and Kyoga from the 1960s to 1990s were examined and compared with Lake Albert. The dominant prey eaten changed from haplochromines, Caridina nilotica, Rastrineobola argentea , and Nile perch juveniles. The condition factor deteriorated from 1.4 in 1960s to 1.2 in 1990s, compared with 1.3 in Lake Albert suggesting a reduction in food supply. Therefore, exploitation of Nile perch prey should be controlled. The size at first maturity increased from 30–40 to 40–50 cm and 50–59 to 80–100 cm for males and females, which is similar to Lake Albert. Sex ratios decreased from 85–100 to 20–65 females for every 100 males suggesting that Nile perch had less capacity to replenish its stocks such that breeding females should be protected. As males mature at 50–55 cm and females at 80–100 cm, immature males of <50 cm and breeding females of >100 cm could be protected through size selective exploitation of fish of 50–100 cm using gillnets of 127–254 mm.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".