Functional osteology of the forelimb digging apparatus of badgers
Bibliographic record
Abstract
Badgers (Carnivora, Mustelidae) constitute a nonmonophyletic assemblage of mammals that are characterized by a general similarity of appearance and a broad geographic distribution. A comparative analysis of the forelimb osteology of badgers was performed to assess how observed differences in their scratch-digging behavior are related to variation of forelimb structure. We measured forelimb bone proportions of 87 skeletal specimens and calculated 8 functional indexes that were analyzed using analysis of variance and principal component analysis to identify the osteological correlates of fossorial ability in this clade. The indexes that best characterize forelimb specialization for scratch-digging in badgers are related to a robust humerus, large humeral epicondyles, and a long olecranon process, and these features increase from digger to semifossorial forms. A large scapular area for muscle attachment and a robust ulna also are correlated with fossorial ability. Semifossorial forms are indicated to have greater forelimb muscle mass, increased mechanical advantage of the elbow extensors, and the ability of the elbow extensor and carpal and digital flexor muscles to apply high out-force to the substrate. Digger forms are indicated to have relatively less robust and longer distal limb bones, and lower limb out-force capability. This study reveals that for badgers there is a distinct relationship between the proportions of the forelimb bones and fossorial ability. The indexes tested that relate to mechanical advantage of the elbow extensors and mass and force production capacity of the musculature have the discriminatory ability to distinguish between degrees of forelimb specialization and fossorial ability of badgers.
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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".