Data from: Complex interactions between temperature, sexual signals, and mate choice in a desert-dwelling jumping spider
Bibliographic record
Abstract
Environmental context is a crucial factor that influences sexual communication systems. Particularly in ectotherms, which cannot metabolically regulate their body temperature, temperature has an outsized effect on these intraspecific interactions. Using a desert-dwelling jumping spider Habronattus clypeatus, we assessed how temperature impacts various parts of the male signal and female mate choice for the signal. These spiders have multimodal, temporally-structured courtship displays that begin with visual-only “sidling” displays and proceed to multimodal visual and vibratory displays. In order to examine temperature effects, we performed no-choice mating experiments (n = 45 trials) at two temperature treatments: hot (~50 °C) and room temperature (~25 °C). We found first that variation in the different stages of courtship segregated onto different principal components. We also found that temperature impacts only vibratory courtship and not sidling courtship. The only aspect of male courtship that females expressed preference for was sidling courtship, but only at the higher temperature. Specifically, females preferred to mate with males that performed shorter sidling displays. This is reflected by shorter copulation times in the warm treatment as well. Our results highlight the importance of understanding environmental context in studies of animal communication. We also stress how a holistic, rather than reductive, approach to complex communication systems is vital in order to understand how selection acts upon them.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.018 |
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".