A coati conundrum: how variation in levels of arboreality influences gait mechanics among three musteloid species
Bibliographic record
Abstract
The gait characteristics associated with arboreal locomotion have been frequently discussed in the context of primate evolution, wherein they present as a trio of distinctive features: a diagonal-sequence, diagonal-couplet gait pattern; a protracted arm at forelimb touchdown; and a hindlimb-biased weight support pattern. The same locomotor characteristics have been found in the woolly opossum, a fine-branch arborealist similar in ecology to some small-bodied primates. To further our understanding of the functional link between arboreality and primate-like locomotion, we present comparative data collected in the laboratory for three musteloid taxa. Musteloidea represents an ecologically diverse superfamily spanning numerous locomotor specializations that includes the highly arboreal kinkajou (Potos flavus), mixed arboreal/terrestrial red pandas (Ailurus fulgens) and primarily terrestrial coatis (Nasua narica). This study applies a combined kinetic and kinematic approach to compare the locomotor behaviors of these three musteloid taxa, representing varying degrees of arboreal specialization. We observed highly arboreal kinkajous to share many locomotor traits with primates. In contrast, red pandas (mixed terrestrial/arborealist) showed gait characteristics found in most non-primate mammals. Coatis, however, demonstrated a unique combination of locomotor traits, combining a lateral-sequence, lateral-couplet gait pattern typical of long-legged, highly terrestrial mammals, varying degrees of arm protraction, and a hindlimb-biased weight support pattern typical of most primates and woolly opossums. We conclude that the three gait characteristics traditionally used to describe arboreal walking in primates can occur independently from one another and not necessarily as a suite of interdependent characteristics, a phenomenon that has been reported for some primates.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".