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Record W4389895157 · doi:10.54640/cah.2023.121

Hallstatt period hoard from Somló Hill

2023· article· en· W4389895157 on OpenAlexaboutno aff
Bence Soós, János Gábor Tarbay, Tamás Péterváry

Bibliographic record

VenueCommunicationes Archaeologicae Hungariae · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHoardPeriod (music)ArchaeologyBronze AgeSettlement (finance)GeographyEliteAncient historyQuarter (Canadian coin)HistoryArtPolitics

Abstract

fetched live from OpenAlex

In January 2023, the National Institute of Archaeology of the Hungarian National Museum launched a new research programme, the aim of which has been to explore the Somló Hill (Somló-hegy) (Veszprém County), a site neglected by systematic field research focusing on Late Bronze Age (LBA) and Early Iron Age (EIA) inhabitation. Somló Hill was often considered one of the most important EIA power centres in the western part of the Carpathian Basin. However, this notion was based mainly on funerary evidence partially unearthed from nearby burial mounds. Beyond doubt, these burials are associated with a prominent elite in the Ha C Period that maintained long-ranging contacts with communities in the (north)west and south. By contrast, virtually nothing is known about either the extent of the EIA settlement both in geographical and chronological terms, its inner structure, or the activity of the community associated with it. In this paper, we aim to show some of the first results of the field research conducted in the last months on the hill and to introduce the first documented EIA hoard of Somló Hill. The typo-chronological evaluation of the hoard suggests that it was deposited in the Late Hallstatt Period, i.e. the Ha D2–D3 phases.

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)0.000
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.091
GPT teacher head0.274
Teacher spread0.183 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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