Silk drives aggregation and following in the neotropical caterpillar <i>Mechanitis menapis</i> (Nymphalidae: Ithomiini)
Bibliographic record
Abstract
Abstract Gregarious larvae that use chemical communication to feed and move together are widespread among folivorous insects, although social behaviour has been studied almost exclusively in a few temperate zone genera. The Menapis (or variable) tigerwing butterfly Mechanitis menapis mantineus Hewitson (Lepidoptera, Nymphalidae, Danainae, Ithomiini) is a neotropical species whose larvae feed gregariously on Solanaceae host plants. In laboratory experiments conducted in the Ecuador cloud forest, M. menapis caterpillars are attracted to silk produced by conspecifics and show no evidence of pheromone production. Indeed, caterpillars consistently choose arenas with silk over bare arenas but do not show a preference for arenas marked with abdominal cuticular surface residues. Mechanitis menapis caterpillars on silk‐coated plants are both more mobile and more cohesive than those on control plants. Nonetheless, caterpillars move independently over unmarked surfaces and groups do not make rapid collective choices between two food sources. Collective behaviour in M. menapis thus appears to be based on aggregation on collectively produced silk to facilitate feeding, as well as using this silk to maintain cohesion. Silk production is common in caterpillars, although M. menapis appears to be unique among species studied so far in using silk to maintain group cohesion.
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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 | 0.000 | 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) | 0.001 | 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".