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Record W2284502988

Knowledge and dating for preservation of historical and cultural significance of the building: the case study of the medieval Castello quarter in Cagliari (XVII-XIX century)

2015· article· en· W2284502988 on OpenAlexaboutno aff
Donatella Rita Fiorino, Caterina Giannattasio, Marcello Schirru, Silvana Maria Grillo, Valentina Pintus, Martina Porcu

Bibliographic record

VenueUNICA IRIS Institutional Research Information System (University of Cagliari) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)HistoryAncient historyArtArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The present study illustrates an interdisciplinary methodology developed with the specific purpose of preserving historical and cultural authenticity and significance of the urban building. The case study is Castello, one of the four ancient quarters of Cagliari, founded in medieval times and intensively modified between XVII and XIX century. Despite the substantial transformation process occurred to buildings, former foundations and structures have often been preserved during centuries, and still conserved and visible. Moreover, the advanced state of decay which affects many edifices allowed stratigraphic investigations and a deep study of the masonries, both for materials and techniques. Crossing data belonging from archival sources with the on-site surveys it has been possible to identify chronological benchmarks. This result is very useful for dating other buildings and consequently to promote their conservation. To carry out the research, a multidisciplinary team was composed, with experts in preservation, history and petrography.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

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

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 head0.120
GPT teacher head0.296
Teacher spread0.176 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

Explore more

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