Worms make risky choices too: the effect of starvation on foraging in the common earthworm (<i>Lumbricus terrestris</i>)
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Bibliographic record
Abstract
Species should avoid risks to protect accumulated fitness. However, when faced with starvation, organisms may accept risks to enhance future reproductive opportunities. We investigated the effect of starvation on risk-taking behaviour in the common earthworm (Lumbricus terrestris Linnaeus, 1758). Lumbricus terrestris are negatively phototactic annelids that feed on decaying plant matter at the soil surface. Feeding in high-light conditions is a potentially riskier choice, given the threats of visual predators and desiccation. We predicted that starvation in L. terrestris would increase risk-taking behaviour and decrease time taken (latency) to make choices. We manipulated the starvation level of L. terrestris individuals (nonstarved, half-starved, and fully starved) and presented them with a binary foraging choice. Lumbricus terrestris could choose either a low-food and dark condition (low-risk condition) or a high-food and light condition (high-risk condition). We found that starved individuals selected the high-risk condition more often than nonstarved individuals. Starved individuals also had a decreased latency to first choice. Risk-taking did not scale with level of starvation; there was no difference in foraging choice and latency between half- and fully starved individuals. Our results indicate that L. terrestris makes state-dependent foraging choices, providing insight into the importance of fundamental life-history trade-offs in this understudied species.
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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 | 0.001 | 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) | 0.000 | 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