MétaCan
Menu
Back to cohort
Record W7084039310 · doi:10.57573/be-ja.15.55-77

Revisiting the history of the Ostrusha Tomb: new data from pottery deposits

2025· article· en· W7084039310 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPotteryExcavationContext (archaeology)Quarter (Canadian coin)Period (music)

Abstract

fetched live from OpenAlex

The Ostrusha tomb is remarkable for its monolithic chamber with hybrid Achaemenid-Greek architecture and a painted ceiling. It was planned and built as a free-standing tomb but was later incorporated into a larger structure. The history of its construction and use remains unsettled, as valuable information was lost in hasty excavation. This paper presents the first comprehensive study of the pottery collected during the excavation and attempts to reconstruct its archaeological context based on surviving descriptions and photographs. Contrary to previous suggestions, the ceramic material does not come from the interior of the tomb or from a ritual pyre. It was originally deposited at different locations in the area of the mound. The relationship of these deposits to the tomb, if any, cannot be reconstructed. The fragmented vessels do not provide firm chronological limits for the different building phases of the monument. However, the majority of the pottery belongs to the third quarter of the 4th c. BC, and it is very likely that these vessels were deposited in connection to a burial. This suggests that the initial structure of the tomb, the monolithic chamber, was completed by ca 325 BC. The activity in the area of the tomb continued until soon after ca 300 BC. The extension of the tomb, with its additional chambers, appears to have been abandoned and buried under the mound before it was completed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0140.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.337
GPT teacher head0.536
Teacher spread0.200 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicEducational Innovations and TechnologyFrench-language works237,207