Food limitation leads to risky decision making and to tradeoffs with oviposition
Bibliographic record
Abstract
A growing body of research over the past decade indicates that interindividual variation in behavior can result from a variety of factors. Two important sources of this variation are behavioral plasticity (adaptive variation in behavior) and behavioral type (i.e., an individual with consistent behavioral differences across one or more situations). Although oviposition-site selection (OS) is widespread and affects both parents and offspring, it has been overlooked in the context of the behavioral type. Thus, we used the Texas field cricket (Gryllus texensis) to determine if OS could be integrated into the behavioral type paradigm and if a relevant environmental variable (food limitation) influences behavioral type. We found that behavioral type was consistent across contexts because individuals exhibiting riskier (bolder) behavior in a novel environment also exhibited riskier behavior during oviposition. Also, individuals traded off safety with food availability during oviposition—that is, fasted crickets were more likely to choose food over safety (shelter) when making an oviposition decision. Last, relative to fed crickets, those that were fasted oviposited fewer eggs during overnight trials in which food was available. By integrating a behavior tightly linked to multigenerational fitness with an established behavioral assay (behavior to novel stimuli), we show that behavioral type can be both consistent across contexts and plastic in response to a ubiquitous environmental factor (food limitation).
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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".