MétaCan
Menu
Back to cohort
Record W4400578144 · doi:10.53131/vo2724-587x2024_0

IL PROGETTO PRIN2017 “PEOPLES OF THE MIDDLE SEA”:INNOVAZIONI E INVENZIONI PER TRACCIARE I PERCORSI DI INTEGRAZIONE DELLE CULTURE MEDITERRANEE

2024· article· it· W4400578144 on OpenAlexaff
Lorenzo Nigro

Bibliographic record

VenueVicino Oriente · 2024
Typearticle
Languageit
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Per più di quattro anni (2020-2024),durante la pandemia di corona virus,il Progetto PRIN2017 “Peoples of the Middle Sea. Innovation and Integration in Ancient Mediterranean”, condotto da una sessantina di ricercatori distribuiti in quattro unità di ricerca,ha perseguito l’obiettivo cardine dello studiodella formazione della civiltà Mediterranea, tra 1600 e500 a.C., dal Levante alla Penisola Iberica(fig. 1)1. Il fil rougedella ricerca è statoseguire la formazionee la diffusione delle principali invenzioni e innovazioni come elementi capaci di rivelarecontatti, scambi, contaminazioni e trasformazioni non noti o noti solo parzialmente.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.231
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueVicino OrienteSame topicAncient Mediterranean Archaeology and HistoryFrench-language works237,207