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Record W6992381673

L'area urbana di Caere. Profilo archeologico di una citta etrusca

2022· article· it· W6992381673 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Theses and Dissertations Repository (University of Pisa) · 2022
Typearticle
Languageit
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsPanoramaStudioProgressive eraPillar
DOInot available

Abstract

fetched live from OpenAlex

Il progetto di ricerca Caere-Area urbana si propone di aggiungere ulteriori tasselli al panorama archeologico del centro etrusco e prende le mosse dal lavoro di digitalizzazione dell’ingente mole di documentazione fotografica, topografica e materiale frutto delle estese ricerche svolte sull’area della città antica di Caere a partire dagli anni ’80 da Giuliana Nardi per conto del CNR. Tale lavoro, affidato alla scrivente dal CNR-ISMA in collaborazione con la Queen’s University of Kingston (Canada), ha permesso di creare dataset all’interno del quale sono confluiti i dati relativi alle 612 Unità Topografiche individuate in oltre trent’anni di ricerche. La sistematizzazione dei dati ha aperto nuove prospettive di studio, mirate ad approfondire natura ed entità degli aspetti relativi all’organizzazione dello spazio urbano, che potranno incrementare il quadro complessivo delle informazioni disponibili sulla città di Caere. Il presente studio si propone di attraversare l’ampio panorama archeologico ceretano nel tentativo di leggere, attraverso le tracce della cultura materiale, fattori di arricchimento o di conferma delle dinamiche di formazione, sviluppo e declino di una città etrusca.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.213
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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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