An Experimental Approach to Understanding Burnt Fish Bone Assemblages within Archaeological Hearth Contexts
Bibliographic record
Abstract
The Richardson Island site, an early Holocene site located in Haida Gwaii, has produced an extensive lithic assemblage. The faunal assemblage from this highly stratified, raised beach site is derived from the contents of several hearth features and consists predominately of burnt fish bone. Compared to a roughly contemporaneous faunal assemblage from the nearby site of Kilgii Gwaay, the Richardson Island site has produced a paucity of large individuals for several common fish taxa – in particular, Sebastes sp. This paper describes an experimental approach to understanding the nature of the Richardson Island fish assemblage. Experimental burning of fish bones in a controlled laboratory setting and in simulated hearths was conducted to determine how the size, survivorship, and identifiability of fish elements would be affected by exposure to high temperatures and fire. The controlled burning of rockfish elements resulted in an average reduction in size of nine percent as well as the eventual disintegration of all otoliths. The experimental hearths illustrate the taphonomic complexity involved in the formation of burnt fish bone assemblages and in the quantification and interpretation of fish remains from hearth contexts. FR: Le site de Richardson Island, un site du début de l'Holocene localisé à Haida Gwaii, contient un assemblage lithique de grande taille. La faune de ce site côtier stratifié dérive de nombreux foyers et consiste surtout d'os de poisson brulé. En comparaison avec la faune du site contemporain de Kilgii Gwaay, Richardson Island a produit peu d'individus de grande taille parmis les taxons communs, tel Sebastes sp. Cet article décrit une approche expérimentale qui nous permet de comprendre la nature de l'ichthyofaune de Richardson Island. Une étude expérimentale de combustion d'os de poisson dans le laboratoire et dans des foyers reconstitués nous a permis de déterminer comment le feu et les hautes températures affectent la préservation différentielle de l'os. La combustion controlé d'éléments a donné une réduction moyenne de taille de 9% des os conservés et la désintégration des otolithes. Les foyers expérimentaux illustrent la complexité taphonomique des ichtyofaunes et les subtilités de l'interprétation des os de poisson provenant de foyers.
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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 | 0.001 | 0.002 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".