Unequal distribution of local mating opportunities in an egg parasitoid
Bibliographic record
Abstract
Abstract 1. The Local Mate Competition (LMC) model predicts that, in gregarious and quasi‐gregarious species, a lone female exploiting a host patch will lay only the minimal number of sons necessary to inseminate all daughters, but as the number of foundresses increases, the proportion of sons deposited by these females also increases. 2. For off‐patch mating to occur, non‐sperm‐depleted males must leave the patch and find virgin females. 3. To investigate the distribution of matings among males, the sperm stock at dispersal and the time of dispersal were quantified for male Trichogramma turkestanica (Hymenoptera: Trichogrammatidae). 4. Matings were not distributed equally among males: some successful males acquired more matings than others. Because of this, a high variability in the sperm stock at dispersal was observed. While few males dispersed almost empty or almost full, the majority of males dispersed with enough sperm to be able to mate with females outside the emergence patch. 5. The mating capacity was thus higher than necessary for local mating and could be explained by an unequal distribution of mating opportunities and the occurrence of off‐patch mating.
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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 | 0.001 | 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".