Impact of Resource Levels on Sex Ratio and Resource Allocation in the Solitary Bee, <I>Megachile rotundata</I>
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Bibliographic record
Abstract
Abstract Maternal investment is strongly influenced by the availability of resources. A mother is expected to trade-off allocation to size, number, and sex of offspring to maximize her lifetime reproductive success. Optimal allocation is likely affected by ecological conditions that can alter the costs and benefits of different allocation decisions. When resources are rare, mothers have fewer resources to invest in offspring, likely altering optimal resource allocation. We examined maternal resource allocation to progeny under three different resource levels in semifield conditions for the solitary bee Megachile rotundata (Fabricius). We found that females with access to low resource levels invested less per individual daughter, but the same per individual son, and produced fewer total offspring compared with females with access to greater resource levels. Resource limitation had no impact on sex ratio.
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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 it