Insights to the mating strategies of Habronattus americanus jumping spiders from natural behaviour and staged interactions in the wild
Bibliographic record
Abstract
We documented natural behaviour and staged intersexual interactions ofHabronattusamericanusjumping spiders in the wild in order to clarify three aspects of their mating strategies: (1) Do males invest more than females in locomotory mate search? (2) Do females exert strong mate choice? (3) Do direct contests occur among males? Males apparently invested heavily in mate search, travelling more than females yet eating nothing. Conversely, females frequently hunted and spent 10% of their time feeding. Females encountered one male per hour, likely affording them a high degree of choice among prospective mates. Accordingly, they promoted the termination of each interaction and ultimately rejected nearly all courting males. Male–male interactions were brief and did not feature direct antagonism. Our findings suggest that mate competition inH. americanusis characterized by male scramble competition for dispersed females, and that female mate choice may exert strong selection on male sexual display traits.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".