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Record W2917553295 · doi:10.30549/opathrom-08-03

The New Swedish Cyprus Expedition 2014. Excavations at Hala Sultan Tekke

2015· article· en· W2917553295 on OpenAlexaboutno aff
Peter M. Fischer, Teresa Bürge, Immo Trinks, Lorenzo Mazzotta, Lærke Recht, Adam Lindqvist, Dominika Kofel

Bibliographic record

VenueOpuscula Annual of the Swedish Institutes at Athens and Rome · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsnot available
Fundersnot available
KeywordsExcavationArchaeologyQuarter (Canadian coin)PotteryStratumGround-penetrating radarGeologyGeographyAncient historyMining engineeringHistoryEngineeringPaleontology

Abstract

fetched live from OpenAlex

The initial aim of the project—the search for the oldest city of Hala Sultan Tekke—continued in 2014. Geophysical methods were used, which led to the discovery of new city quarters, and a broadening of the research objectives, to include revealing the total extent of the city. The GPR survey indicated a huge stone compound of at least 50 m × 40 m to the west of a probable street. Excavations continued in Area 6 West, where in 2013 a domestic and industrial compound was excavated as part of a hitherto unknown city quarter. The 2014 field work exposed stone-built structures and rich find contexts with locally made and imported pottery, numerous tools and several items of gold and silver jewellery. The violent destruction of the most recent layer of occupation, Stratum 1, which had been observed during previous seasons, was once again confirmed. Another georadar and magnetic survey west of the mosque of Hala Sultan Tekke indicated numerous circular anomalies. Five of these were excavated and turned out to be four wells and an offering pit. One of the wells was reused for human burials. Another well contained the skeleton of an equid, a complete bull figurine and a cylinder seal of haematite.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
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 studies0.0020.002
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 head0.025
GPT teacher head0.214
Teacher spread0.189 · 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.

Study designNot applicable
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

Citations16
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueOpuscula Annual of the Swedish Institutes at Athens and RomeSame topicAncient Mediterranean Archaeology and HistoryFrench-language works237,207