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Record W4380882552 · doi:10.4000/books.efr.48732

Un progetto multidisciplinare sulla cultura materiale del territorio di Ostia

2023· book-chapter· it· W4380882552 on OpenAlexaff
G.A. Olcese, Andrea Razza, Domenico Michele Surace

Bibliographic record

Venuenot available
Typebook-chapter
Languageit
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La cultura materiale dell’età augustea non è attualmente nota nel suo complesso nell’area di Ostia, a causa della scarsità di dati e di contesti relativi a quest’epoca. Nel contributo sono presentati gli esiti del riesame, ancora in corso nell’ambito del progetto Immensa Aequora (www.immensaaequora.org), del materiale ceramico proveniente da due contesti del territorio, la Longarina 1 e il “Binario Morto”. Lo studio tipologico e quantitativo delle anfore, in particolare, ha fornito importanti informazioni in merito alla circolazione degli alimenti nel territorio ostiense. I dati archeometrici, già editi sulle anfore del “Binario Morto”, che si sono aggiunti ai lavori già pubblicati sulle ceramiche dell’Ager portuensis, costituiscono un riferimento per le analisi di laboratorio sui contenitori della Longarina 1, in parte già campionate in passato, al fine di una verifica della loro origine e dei contenuti trasportati, mediante analisi di gascromatografia-spettrometria di massa (GC-MS). Sono inoltre anticipati alcuni dati preliminari relativi allo studio condotto sulla terra sigillata italica e sulla ceramica comune dei due contesti.

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)0.007
metaresearch head score (Gemma)0.006
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: Other
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0090.007
Open science0.0020.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.040
GPT teacher head0.228
Teacher spread0.188 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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