Bibliographic record
Abstract
Theory suggests that the evolution of sexual dimorphism in ecologically relevant traits can evolve purely through competition between the sexes for a shared resource. Although more parsimonious hypotheses exist for the evolution of ecological sexual dimorphisms, there are some underappreciated reasons to expect that competition may often play some role in the evolution of sexual dimorphism. Here, we build on past work to outline a set of sufficient criteria to demonstrate a role for resource competition in the evolution of sexual dimorphism, the most critical of which is that resource competition can be directly linked to sexual divergence along the axis of ecologically relevant dimorphism. We then compare the geometry of fitness surfaces across experimental manipulations of density and sex ratio in a semiaquatic salamander (Notophthalmus viridescens). We find consistent disruptive selection on multivariate sexual dimorphism in feeding morphology, which increases in strength with density. Fitness and the strength of divergent selection are negative-frequency dependent in the manner expected under competition-driven divergence between the sexes. Our results constitute direct evidence of resource competition as a driver of sexually antagonist selection and consequently the evolution of sexual dimorphism, providing an illustration of how cause and effect can be separated in studies of sexual divergence in morphology and ecology. We suggest that resource competition may often contribute to sexual divergence jointly with other sources of sex-biased selection, especially when ecological opportunity is sex specific.
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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".