Resisting the Pied Piper: Colorful Defense Mechanisms in Insect Eggs, with a Focus on Stink Bugs (Heteroptera: Pentatomidae)
Bibliographic record
Abstract
How can immobile life stages such as eggs protect themselves against physical and biological threats?One protective adaptation that has evolved to help them survive is egg coloration.In this thesis, I begin by reviewing the studies looking at the adaptive insect egg coloration and distinguish what is known based on scientific evidence versus untested hypotheses.I then move on to testing whether the eggs of the Harlequin cabbage bug are chemically defended, in an attempt to link glucosinolate sequestration to possible aposematic egg coloration.I argue that the nymphs are not only chemically defended, but also use tonic immobility as an alternative antipredation strategy until sufficient compound sequestration is achieved.Finally, I assess the selective pressures behind the evolution of egg color polymorphism in the Spined soldier bug.I demonstrate that frequency-dependent predation is necessary to select for approximately equal frequencies of the two main morphs observed in nature.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".