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Enhancement of the archaeological site of the Hellenistic-Roman Quarter of the Valley of the Temples in Agrigento

2014· article· en· W2954537348 on OpenAlexaboutno aff
Santina Di Salvo

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ArchaeologyAncient historyArtHistory

Abstract

fetched live from OpenAlex

The enhancement of the archaeological sites of the Hellenistic-Roman Quarter of Agrigento, in Sicily, should be one of the objectives of a project for increasing the cultural and economic value of one of the most visitede places al lover the word. This objective can be achieved through an exhibition project, making use of specific skills. One of the important aspects to be considered is the ability to communicate the material and immaterial evidence of residential building remains of the Hellenistic-Roman period to a wide range of visitors. Tasks of technology allow to explore the tools to convey the historical memory and promote the identification of the ruins. In each reliable intervention it is necessary to seek more useful strategies that help audiences experience and understand the sites, according to the conservation requirements. This is made possible by a multidisciplinary approach, in order to create and empower the relations among the values and the potentialities of the Mediterranean cultural heritage and the territorial, social and economic context

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 score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.037
GPT teacher head0.240
Teacher spread0.203 · 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".

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Citations0
Published2014
Admission routes1
Has abstractno

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