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Record W7161745463 · doi:10.17192/openumr/502

Urban Architecture in Ancient Berytus: An Architectural and Geospatial Analysis of Martyr’s Square

2022· other· en· W7161745463 on OpenAlexaboutno aff
Hassan El Hajj

Bibliographic record

Venuedata_UMR · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeospatial analysisArchitectureExcavationDocumentationQuarter (Canadian coin)Urban planningPlan (archaeology)Square (algebra)Geomatics

Abstract

fetched live from OpenAlex

This dissertation examines the urban architecture and development of Roman Berytus through geospatial reconstruction and network analysis of previously excavated but largely unpublished archaeological sites in the Eastern Quarter near Martyr's Square. Analyzing documentation from four sites covering approximately 15,000 sqm, the study employs spatial and street network analyses to reconstruct the city's urban grid to reveal a complex urban plan where modest street-facing shops coexisted with luxurious courtyard houses and private baths. By reconstructing architecture and street networks from archival excavation data rather than fieldwork, this research addresses critical knowledge gaps about Berytus during the 1st and 6th centuries AD, while advocating for renewed attention to the city's shared cultural heritage.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.255
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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