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Record W2739136723 · doi:10.1007/s12520-017-0526-1

Small carnivores from a Late Neolithic burial chamber at Çatalhöyük, Turkey: pelts, rituals, and rodents

2017· article· en· W2739136723 on OpenAlexfundno aff
Kamilla Pawłowska, Adrian Marciszak

Bibliographic record

VenueArchaeological and Anthropological Sciences · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersUniwersytet im. Adama Mickiewicza w PoznaniuAlberta Agricultural Research InstitutePanthera
KeywordsArchaeologyGeographyZooarchaeologyTaphonomyAncient historyHistory

Abstract

fetched live from OpenAlex

Results derived from the analysis of small carnivores from a burial chamber at the Late Neolithic Çatalhöyük (TP Area) shed light on the socioeconomic significance of stone martens (Martes foina), red foxes (Vulpes vulpes), and common weasels (Mustela nivalis). All of these are fur-bearing animals, though only the stone marten remains to show evidence that this animal was exploited for its pelt. The evidence consists of the observed skeletal bias (only the head parts and foot bones were present) and skinning marks. Two of five sets of articulated feet are most likely linked with an almost completely preserved human infant skeleton, one of two well-preserved skeletons that were interred on the burial chamber floor. In contrast to these, other human skeletons were found mostly incompletely preserved, though with evidence of articulation. It seems that the articulated forepaws were deliberately incorporated into the structure, most likely as a part of burial practice and ritual behavior. These distinctive deposits, along with rich grave goods, emphasize the uniqueness in the entire Anatolian Neolithic of the assemblage from the burial chamber, which is decorated by a panel incised with spiral motifs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.030
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.256
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2017
Admission routes1
Has abstractyes

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