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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 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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.012
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.003

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; 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
GenreReview

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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