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Record W4362589970 · doi:10.29173/cons29502

Examination and Analysis of an Unlabeled Artifact in the University of Alberta’s W.G. Hardy Classics Museum

2023· article· en· W4362589970 on OpenAlexvenueaboutno aff
Keenan Walker

Bibliographic record

VenueConstellations · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsArtifact (error)Cultural artifactVisual artsHistoryComputer scienceArchaeologyArtArtificial intelligence

Abstract

fetched live from OpenAlex

In one of the display cases at the University of Alberta’s W.G. Hardy Classics Museum is a remarkably intact, but unlabeled and unnumbered classical artifact. This artifact, while rather basic in painting and design, is nonetheless unique and offers intriguing questions as to its contextual origins. It is the purpose of this paper to offer an examination and analysis of this artifact. This will be accomplished by first exploring the artifact’s shape and artistic features. Then, the artifact’s date as well as its most probable geographical location of production will be explored. Finally, a speculation of the artifact’s usage, deposition, and purpose will be offered. Through this examination and analysis the artifact will be seen not as a basic classical ceramic lacking in great detail or pomp, but rather as a unique artifact with a rich contextual origins and much to offer the viewer in regards to the cultural extent of Greek colonization in Magna Graecia.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.677

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.007
Science and technology studies0.0060.004
Scholarly communication0.0030.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.233
Teacher spread0.182 · 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
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
Published2023
Admission routes2
Has abstractyes

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