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Record W7029172346

Indagini multidisciplinari e ricostruzione virtuale: il caso di studio del Teatro Nord di Hierapolis di Frigia (Turchia)

2018· book-chapter· en· W7029172346 on OpenAlexaboutno aff

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2018
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsStudioPlan (archaeology)ExcavationQuarter (Canadian coin)Multidisciplinary approachProspectingField surveyArchaeomagnetic datingAerial photos
DOInot available

Abstract

fetched live from OpenAlex

The contribution concerns the multidisciplinary research conducted on the North Theatre of Hierapolis in Phrygia (south-western Turkey), built in the 2nd cent. AD and collapsed because of an earthquake in the third quarter of the 4th cent. AD. A systematic analysis and topographical survey of the remains of the Theatre were performed, and plan of the building was integrated into the digital archaeological map of the city. These data were combined with those from the geological study of the site (characterized by landslides) and from the geophysical prospecting (magnetometry and GPR) carried out in the area of the scaena and in the space between the Theatre and the North Agora. The integration with the data acquired during field works conducted also along the Early-Byzantine city walls (where numerous marble and travertine seats of the Theatre were re-used) allowed the virtual reconstruction of the monument into the original shape of the site by means of 3D photomodelling techniques.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.049
GPT teacher head0.273
Teacher spread0.224 · 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
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
Published2018
Admission routes1
Has abstractyes

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