Fisheries in a border area of the Moxos Lowlands (Bolivia) after invasion of <i>Arapaima gigas</i>
Bibliographic record
Abstract
Abstract Fish in the upper Madeira River basin (Bolivian Amazon) are an important source of livelihoods and protein for both rural and urban human populations. We characterised fisheries in the area of the port city of Riberalta, which possesses some of the most important fisheries landing sites bordering the Moxos lowlands, and evaluated the contribution of an invasive species ( Arapaima gigas ) to the landings. We compared the regional economic contribution of urban‐based and rural indigenous fisheries. Both fisheries contribute significantly to local food security and livelihoods and take advantage in a different but complementary way of the abundance of the invasive species, avoiding conflicts by partitioning the fish catch and supplying different urban markets. Both fisher groups are involved in a debt peonage system making them dependent on middlemen. A. gigas represented 57.6% of the overall economic value of fish in the region. The socioeconomic impact of the invasive species might increase considerably if it would invade and colonise the available habitats in the nuclear area of the Moxos lowlands.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".