The effect of male-male fight observation on female choice and offspring quality in Gryllus assimilis
Bibliographic record
Abstract
Theory suggests that behaviours previously thought only to play a role in intrasexual selection can also be co-opted to serve as honest indicators of male quality.In Gryllus assimilis, males fight more aggressively in front of a female audience; their elevated aggression may serve as a mate attraction signal.I investigated how observing a fight influenced various measures of reproductive success.I had two treatments: (1) females observed a fight between two males or (2) females observed two non-interacting males.I then assessed female mate preference using dichotomous and no-choice tests.After mating, I allowed females to lay eggs and raised a subset of their offspring to adulthood.Females were more likely to mount dominant males, regardless of whether they had watched the fight, but dominant males did not have increased fecundity, viability, or offspring size.Audience effects in this species may not have evolved due to eavesdropping.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".