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The châtelperronian Neandertals of Cova Foradada (Calafell, Spain) used Iberian imperial eagle phalanges for symbolic purposes

2018· preprint· en· W4247228248 on OpenAlexaff
Antonio Rodríguez‐Hidalgo, Juan Ignacio Morales, Artur Cebrià, Lloyd A. Courtenay, Juan Luis Fernández‐Marchena, Gala García-Argudo, Juan Marín, Palmira Saladié, María Soto, José-Miguel Tejero, Josep María Fullola i Pericot

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEagleUpper PaleolithicHomo sapiensMiddle PaleolithicTetrapod (structure)CaveRange (aeronautics)ArchaeologyAurignacianOrnamentsGeographyWestern europePaleontologyBiology

Abstract

fetched live from OpenAlex

The use of personal ornaments by Neandertals is one of the scarce evidence of their symbolic behaviour. Among them stand up the eagle talons used presumably as pendants, in an analogous way than anatomically Modern Humans ( Homo sapiens ) did. Considering the broad range and time scale of Neandertals distribution across Eurasia, this phenomenon seems to be concentrated in a very specific area of Southwestern-Mediterranean Europe during a span of ca. 80 ka. Here we present the analysis of one pedal phalange of a large eagle recovered in Foradada cave site, Spain. Our research confirms the use of eagle talons as symbolic elements in Iberia, expanding geographically and temporally one of the most common evidence of symbolic behaviour among western European Neandertals. The convergence in use of large raptor talons as symbolic elements by one of the last Neandertal populations raises the survival of some cultural elements of the Middle Paleolithic into beginnings of the Upper Paleolithic.

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 score0.042
Threshold uncertainty score0.084

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.045
GPT teacher head0.333
Teacher spread0.288 · 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
Published2018
Admission routes1
Has abstractyes

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