Data and code supporting acoustic and environmental factors driving digging behavior in the early life of a freshwater turtle
Bibliographic record
Abstract
Acoustic communication is widespread in the animal kingdom and often fundamental to early life survival. Extant archosaurs, birds and crocodilians, display complex vocalizations in early life that function in parental care and embryo communication. Turtles are a sister group to archosaurs, and vocalize, but lack parental care, providing an opportunity to decouple parental care from other factors driving the evolution of neonatal communication. Turtle hatchlings produce vocalizations in the subterranean nest before emergence, but their function remains unclear. We hypothesized that acoustic cues may facilitate emergence from the nest by cuing hatchlings to begin digging out of the subterranean nest cavity. We test whether hatchling vocalizations are positively associated with digging activity in hatchling snapping turtles (Chelydra serpentina). In two successive years, we monitored subterranean hatchling behaviour in situ with acoustic recorders in semi-natural turtle nests. Structural Equation Modelling revealed that vocalization was causally associated with hatchling movement. Our findings support a hypothesis that early-life acoustic communication coordinates a social activity in the absence of parental care, a function with relatively few described parallels in the animal kingdom.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.115 | 0.044 |
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".