Precopulatory choice for cues of material benefits in tree crickets
Bibliographic record
Abstract
The relative importance of direct and indirect benefits models of mate choice is a central question in sexual selection, but separating the two models is very difficult because high quality males often provide both better direct benefits and better genes. In tree crickets, Oecanthus nigricornis, females have the opportunity to gain both directly and indirectly from mate choice. Female tree crickets exercise premating choice for large males, but the model underlying this choice is unknown. In this study we examine the proximate cues used by female tree crickets to reject males, and show that the ability of males to provide food is a central cue. In contrast, we find no evidence that the relative size of mates is important in mate rejection. The fact that the major phenotypic cues of male quality are related to food provisioning suggests that the role of genetic benefits in shaping female preferences is limited by the extent to which food provisioning signals genetic quality.
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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) | 0.000 | 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 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".