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Record W4323789349 · doi:10.1017/s0570608422000072

7 Recent research on Greek architecture: 2012–2022

2022· article· en· W4323789349 on OpenAlexaff
Philip Sapirstein

Bibliographic record

VenueArchaeological Reports · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScrutinyArchitectureHistoryPrehistoryNarrativeMainlandArchaeologyPolitical scienceLiteratureArtLaw

Abstract

fetched live from OpenAlex

The discipline of Greek architecture has been changing rapidly since the time of a major review published in 2011. The current study examines research published since 2012 about the prehistoric through to the Hellenistic eras in mainland Greece and the Aegean, along with the expansion of Greek architectural systems throughout the Mediterranean and Black Sea in the first millennium BC. A narrative discussing close to 300 works from recent years is bolstered by a quantitative analysis of the subjects treated in nearly 1,000 studies from the previous decade. Traditional foci of the discipline, such as palaces and sanctuaries, are being approached in new and methodologically sophisticated manners. A notable rise in the scrutiny of material remains suggests diverse new interests in planning and construction, from the scale of an individual architectural member up to a territorial defence network. The integration of recent digital and scientific methods has been remarkable, including widespread adoption of 3D recording and modelling, remote sensing, and compositional analysis. Certain architectural types – in particular fortifications, harbours, and urban planning – have received a great deal more attention than in past decades.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0650.000

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 head0.133
GPT teacher head0.310
Teacher spread0.178 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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