Bibliographic record
Abstract
Female‐biased predation is rare in nature; however, sphecid wasps often take more female than male prey, including Isodontia mexicana , which hunt Oecanthus tree crickets. This study tests the hypothesis that wasps prefer females because they are larger than males. This predicts a female sex bias only for sexually size‐dimorphic prey. Prey from artificial I. mexicana nest holes in C entral O ntario were compared with surviving crickets sampled from the hunted population. Sex ratios of prey and survivors were examined and compared with the occurrence of female‐biased sexual size dimorphism. Logistic regression was used to determine whether body size, sex, species, and life stage of crickets predicted capture by wasps. As predicted, wasps took a disproportionate number of adult females only of sexually size‐dimorphic prey Oecanthus nigricornis . No sex bias was found in adult prey of Oecanthus quadripunctatus or in nymphal prey of either species. However, female‐biased sexual size dimorphism did not necessitate female‐biased predation: even though female O. nigricornis nymphs were larger than males, female nymphs were not hunted more often. Body size was a significant predictor of predation, but this relationship was non‐linear. There was also evidence of an interaction among sex, life stage, and body size of prey in relation to predation risk. These results support the size‐preference hypothesis, but do not rule out alternative hypotheses. For example, sex differences in behaviour or life‐history traits that develop in adulthood may also contribute to differences in predation risk. Predation that consistently targets large adult females of a population may result in evolutionary changes in the behaviour or life history of the prey species.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".