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Record W4410218023 · doi:10.1016/j.qeh.2025.100069

Technology and taphonomy of the Middle Paleolithic assemblage from the Uzun Mera site in Macedonia

2025· article· en· W4410218023 on OpenAlexfundno aff
Darko Stojanovski, Gabriele L.F. Berruti, Marta Arzarello, Sarah Lacy, Trajche Nacev, Aleksandar Danev

Bibliographic record

VenueQuaternary Environments and Humans · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
FundersOntario Ministry of Tourism, Culture and SportMinistry of Arts, Culture and Status of Women
KeywordsTaphonomyAssemblage (archaeology)ArchaeologyMiddle PaleolithicUpper PaleolithicPaleontologyGeographyGeologyAncient historyHistoryPleistocene

Abstract

fetched live from OpenAlex

The open-air site of Uzun Mera in eastern North Macedonia provides new insights into Middle Paleolithic Neanderthal behavior and site formation processes in the understudied Balkan Peninsula. Discovered in 2017, the site spans over 1.5 km² and contains lithic artefacts affected by both cultural and post-depositional processes. Technological analysis of 33 selected artefacts reveals a Middle Paleolithic industry featuring opportunistic, Levallois, and Discoid knapping methods, primarily using locally available jasper and flint. Taphonomic investigation identified two distinct alteration phases: mechanical modifications (edge crumbling, polishing, rounding) from trampling and fluvial transport, followed by chemical patination during burial in alluvial sediments. The post-depositional alteration sequence on the artefacts tells a story of a complex and dynamic past, during which geological processes impacted the primary location of the site and displaced the lithic artefacts to their current location in the alluvial plain. This study enhances understanding of Central Balkan Paleolithic human-environment interactions while highlighting the challenges of interpreting open-air sites with complex formation histories.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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 teacher head, 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

Citations1
Published2025
Admission routes1
Has abstractyes

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