Ecomorphological study of Caribou (Rangifer tarandus caribou) distal phalanx: Insights from 3D geometric morphometrics for paleoenvironmental reconstructions
Bibliographic record
Abstract
Reindeer mobility patterns exhibit significant variability in modern ecosystems, especially between open and wooded environments. This variability makes it difficult to reconstruct past reindeer migration patterns, which is key to understand the role of reindeer herds in the sustenance and territorial organization of Prehistoric hunter-gatherer societies. By examining morphology associated with different habitats and movement patterns, insights into prehistoric reindeer behavior can be obtained. Investigating the relationship between locomotor anatomy and substrate type in present-day animals allows for paleoecological inferences, as previous research indicates that an animal's environment affects bone morphology. In the present study, 3D geometric morphometrics is employed to examine the influence of habitat type and mobility patterns on distal phalanx morphology from extant caribou ( Rangifer tarandus caribou ). Our analysis reveals significant morphological adaptations linked to different habitats (boreal forest, mountain, and tundra) and mobility types (sedentary, migratory, and altitudinal). However, the potential impact of sex remains uncertain due to incomplete data. The significant variations in shape and size of caribou distal phalanges across different habitats and mobility types underscore the complex interactions between morphology, ecology, and evolutionary pressures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".