Taphonomy of Yellow-legged Gull (<i>Larus michahellis</i>) pellets from the Chafarinas islands (Spain)
Bibliographic record
Abstract
Fish are consumed by many predators in addition to humans. Identifying the agent responsible for an archaeological fish bone accumulation is a crucial yet far from straightforward task in the absence of diagnostic criteria. It is for this reason that exploring the features of fish bone collections produced by animals constitutes a key issue of archaeozoological research. In this paper, one such study is presented for the Yellow-legged Gull (Larus michahellis J.F. Naumann, 1840). A total of 48 pellets were collected in a colony of the species on two islands of the Chafarinas archipelago (Mediterranean Sea). The analyses demonstrate that fish remains, represented by 13 species and 1 genus, made up 93% of the 2789 identified remains. Most assemblages were dominated by the European pilchard (Sardina pilchardus (Walbaum, 1792)). Our study indicates that digestive processes modify skeletal elements through abrasion and fragmentation. Based on the modifications that were recorded, a set of diagnostic criteria is proposed to serve as proxies for spotting fish bone deposits produced by Yellow-legged Gulls on archaeological assemblages.
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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 | 0.000 |
| 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".