Semicircular canal morphology in Rodentia and its relationship to locomotion
Bibliographic record
Abstract
Anatomical structures vary among mammals with different locomotor behaviours, including sensory structures such as the semicircular canals (SCCs) in the inner ear. Recent SCC research has examined various mammalian groups, but there has been a lack of research on rodents, the most speciose and diverse mammalian order. In this study, an extant sample of 98 rodent SCCs from 56 species across seven different locomotor behaviour categories (arboreal, fossorial, gliding, ricochetal, semiaquatic, semifossorial, terrestrial) was used to understand the correlations between SCC morphology and locomotion in rodents. Morphological correlates considered include the radius of curvature (R), overall 3-dimensional shape, and angles between pairs of canals (orthogonality). Our results show that agile arboreal taxa have larger R for their body size, and fossorial taxa have smaller R for their body size. Shape among specialized locomotor behaviours (arboreal, gliding vs. fossorial) can be differentiated, while other "generalist" categories overlap in morphospace. Specialized locomotor categories can be predicted with greater precision and sensitivity, while other generalist categories tend to be miscategorized as terrestrial. Angles between canals are not consistent across locomotor categories, and more agile groups do not have more orthogonal angles, contrary to our predictions. SCC R and overall shape are robust indicators of specialized locomotor behaviours and can be informative in reconstructing the behaviour of fossil rodents.
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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".