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Record W2136792182 · doi:10.1644/06-mamm-a-386r.1

Vocal Stereotypy and Singing Behavior in Baiomyine Mice

2007· article· en· W2136792182 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Mammalogy · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsRoyal Ontario MuseumUniversity of Toronto
FundersCornell Lab of Ornithology
KeywordsCourtshipSingingVocal learningCommunicationStereotypyBiologyPredictabilityRange (aeronautics)ZoologyPsychologyAcousticsNeuroscience

Abstract

fetched live from OpenAlex

Abstract We examined spectral features that characterize the highly stereotyped, repetitive vocalizations of New World baiomyine rodents. Although stereotyped vocal signaling, described as “song,” has been documented in Scotinomys (singing or brown mice), its occurrence was unknown in the sister taxon Baiomys (pygmy mice). We also recorded vocalizations of females, about which little information was previously available. Although examination of morphological and molecular data supports a close relationship between the 2 baiomyine genera, we identified song as a complex behavior that further underpins the monophyly of the Baiomyini. Both spectral and temporal features render these songs highly localizable, a characteristic of possible utility for courtship and other social behavior. The song of Baiomys is confined entirely to the ultrasonic spectrum, unlike that of Scotinomys, which uses a broader range of frequencies. The intensity, identity, and predictability of vocalization suggest that these songs are purposeful and carry information important for species identification.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.301
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it