MétaCan
Menu
Back to cohort
Record W3007992370 · doi:10.1163/18253911-03403001

A Dig through Archives and Depots

2019· article· en· W3007992370 on OpenAlexafffund
Cinzia Bettineschi, Giulia Deotto, Donald James Ian Begg, Gianmariο Molin, Paola Zanovello, Alessia Fassone, Christian Greco, Matilde Borla, Ivana Angelini

Bibliographic record

VenueNuncius · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsTrent University
FundersUniversità degli Studi di PadovaTrent University
KeywordsChronologyDocumentationExcavationStratigraphyArchaeologyCraftInterpretation (philosophy)HistoryPeriod (music)Function (biology)GeologyComputer sciencePaleontologyArt

Abstract

fetched live from OpenAlex

Abstract Despite the key role of the Ptolemaic period in the history of glass technology, very little is known on the workshop activities and on the organization of the production. This is mainly due to the limits of the documentation currently available, consisting of very few archaeological contexts often poorly preserved. This contribution presents a first overview of the material and archival record related to the 1931 excavations in the Ptolemaic inlay workshop of Tebtynis (Fayum oasis, Egypt). Unlike other coeval sites, the data from Tebtynis revealed a complete set of evidence related to the stratigraphy and the topography of the craft area, to the shape and size of the kiln, to the furniture, the tools, the raw materials, and the finished products discovered. The interpretation of the data provides the opportunity to propose new hypotheses on the function of the spaces and the tools, but also on the chronology of the workshop, contributing to shedding light on the technological and empirical knowledge of the ancient Egyptian glassmakers in a crucial moment of glass history.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.155
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.011
Science and technology studies0.0050.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1550.033

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 head0.023
GPT teacher head0.195
Teacher spread0.172 · 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

Citations4
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueNunciusSame topicCultural Heritage Materials AnalysisFrench-language works237,207