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Record W4223956362 · doi:10.1017/s0068245421000150

LEAD FIGURINES FROM THE SANCTUARY OF ARTEMIS ORTHIA AT SPARTA IN THE ART GALLERY OF GREATER VICTORIA (CANADA): PROBLEMS OF TYPOLOGY AND COLLECTIONS HISTORY

2022· article· en· W4223956362 on OpenAlexafffundabout
Graham C. Braun, Jacob M. Engstrom

Bibliographic record

VenueThe Annual of the British School at Athens · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of British Columbia
FundersKing's College LondonUniversity of VictoriaMcGill UniversityBritish School at AthensUniversity of CambridgeSmithsonian Institution
KeywordsTypologyStyle (visual arts)ArchaeologyHistoryValue (mathematics)Order (exchange)ArtVisual artsComputer science

Abstract

fetched live from OpenAlex

This paper presents the collections history and typological characteristics of a small collection of Laconian lead figurines from the sanctuary of Artemis Orthia currently held in the Art Gallery of Greater Victoria, British Columbia, Canada. The collection, which first belonged to Ramsay Traquair, serves as a case study for the applicability of the traditional lead figurine typology to decontextualised artefacts, demonstrating its limitations for assigning precise and accurate dates based on style without the benefit of stratigraphic and contextual evidence. The paper further attests to the value of comprehensively analysing small museum and gallery collections in order to gain more individualised understandings of the figurines within the large Laconian corpus than could be afforded upon excavation. Thus, this study helps to elucidate some of the limitations to the means by which we interpret Laconian material culture as well as to nuance our understanding of Laconian lead figurines by demonstrating the varied capability of the typology and published comparanda in dating and stylistic description.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.999

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.158
Teacher spread0.149 · 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 designObservational
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

Citations4
Published2022
Admission routes3
Has abstractyes

Explore more

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