F<scp>UNCTIONAL</scp>E<scp>COLOGY OF</scp>I<scp>MMATURE</scp>P<scp>ARASITOIDS</scp>
Bibliographic record
Abstract
Recently, there has been exciting progress in our understanding of the behavioral and evolutionary ecology of immature parasitoids. Developing parasitoids face a diversity of ecological constraints, and parasitism success involves decisions and responses made by immature parasitoids to find a host and solve conflicts with five potential antagonists: host, mother, siblings, competitors, and natural enemies. In this review we synthesize and interpret results from studies on (a) the convergent evolution of host selection behavior of first-instar larvae and females in hymenopteran, dipteran, and coleopteran families; (b) the competitive interactions between larval parasitoids and the evolution of gregariousness; (c) the susceptibility of parasitized hosts to predation; and (d) the ability of parasitoids to manipulate the behavior of the host. We discuss how ecological interactions between juvenile parasitoids and their hosts, competitors, and natural enemies influence the evolution of parasitoid life-history strategies, and why the integration of functional aspects of the ecology of immature parasitoids provides a reliable framework for effective host-parasitoid population models and formulation of biological control solutions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.027 |
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".