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Record W7104254950 · doi:10.13140/rg.2.2.32252.40323

The social ecology of mosasaurs as evidenced by traumatic paleopathologies

2025· article· en· W7104254950 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsField (mathematics)Social relationshipSocial ecologySocial relation

Abstract

fetched live from OpenAlex

Herein I examine a long-standing hypothesis about agonistic social interactions in Mosasauridae, an extinct family of Late Cretaceous marine toxicoferan lizards. Previous studies on mosasaur agonism presented idiosyncratic evidence, which limited behavioral interpretations. To test the hypothesis that mosasaur aggression can be quantitatively studied and better understood through the lens of their closest relatives, I first conducted a review assessing paleopathological evidence for intraspecific agonism in the fossil record. I adapted existing, well-constrained anthropological methods of identifying traumatic paleopathology to create a framework applicable to fossil research. Next, I tested the established framework in a case study using data from prior mosasaur pathology studies and new observations to identify trends, finding that agonism-attributed features are widespread across Mosasauridae. In addition, unhealed features contradict morphological, and orientation trends observed in healed features. When cross-referenced with shark-attributed features, most unhealed confamilial mosasaur bites imply scavenging rather than deadly attacks. Damage attributed to mosasaurs is predominantly antemortem (77%), cranial (81%), and horizontally oriented; damage attributed to sharks is predominantly peri/postmortem (97%), broadly spread across skeletons, and vertically oriented. Finally, I conducted a systemic paleopathological survey (244 specimens, 2209 elements) of North American mosasaurid skull material to determine frequency, morphology, ontogeny, and taxonomic patterns of cranial trauma pathologies with comparison to known behaviors of modern relatives. 119 total lesions are documented (65 elements, 2.9%) across 39 specimens (15.9%). Pathologies are most common on the anterior snout and are commonly parallel to the tooth row. Pathology frequency correlates with size class, with larger specimens showing more features. One-third of marked specimens show features at different healing stages, implying recurrent behaviors. Cranial pathologies are taxonomically widespread, suggesting this behavior is plesiomorphic for Mosasauridae. These pathologies may result from male-male intrasexual aggressive behavior, as seen in extant varanids and snakes, and their onset at 40-60% maximum size may indicate sexual maturity. If this is correct, consistent absence of these pathologies in the largest specimens may be indirect support for reverse sexual size dimorphism in some mosasaurs, sensu modern snakes. Overall, this study provides new insights into the lives of these marine lizards and helps differentiate behaviors.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.310
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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