Deer Mothers Are Sensitive to Infant Distress Vocalizations of Diverse Mammalian Species
Bibliographic record
Abstract
Acoustic structure, behavioral context, and caregiver responses to infant distress vocalizations (cries) are similar across mammals, including humans. Are these similarities enough for animals to respond to distress vocalizations of taxonomically and ecologically distant species? We show that mule deer (Odocoileus hemionus) and white-tailed deer (Odocoileus virginianus) mothers approach a speaker playing distress vocalizations of infant marmots (Marmota flaviventris), seals (Neophoca cinerea and Arctocephalus tropicalis), domestic cats (Felis catus), bats (Lasionycteris noctivagans), humans (Homo sapiens), and other mammals if the fundamental frequency (F0) falls or is manipulated to fall within the frequency range in which deer respond to young of their own species. They did not approach to predator sounds or to control sounds having the same F0 but a different structure. Our results suggest that acoustic traits of infant distress vocalizations that are essential for a response by caregivers, and a caregiver's sensitivity to these acoustic traits, may be shared across diverse mammals.
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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 | 0.000 | 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) | 0.001 | 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".