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Record W2898247411 · doi:10.1017/s1047759418001770

The gladiator reliefs of Italy and broader developments in gladiator imagery - MANUEL FLECKER, RÖMISCHE GLADIATORENBILDER. STUDIEN ZU DEN GLADIATORENRELIEFS DER SPÄTEN REPUBLIK UND DER KAISERZEIT AUS ITALIEN (Studien zur antiken Stadt 15; Dr. Ludwig Reichert Verlag, Wiesbaden2015). Pp. 309, 50 Abb. in text, numerous ills. in catalogue, Beil. 13. ISBN 978-3-95490-097-8.

2018· article· de· W2898247411 on OpenAlexaff
Katherine M. D. Dunbabin

Bibliographic record

VenueJournal of Roman Archaeology · 2018
Typearticle
Languagede
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsMcMaster University
Fundersnot available
KeywordsArtHumanitiesArt historyHistoryCartographyAncient historyGeography

Abstract

fetched live from OpenAlex

The gladiator reliefs of Italy and broader developments in gladiator imagery - MANUEL FLECKER, RÖMISCHE GLADIATORENBILDER. STUDIEN ZU DEN GLADIATORENRELIEFS DER SPÄTEN REPUBLIK UND DER KAISERZEIT AUS ITALIEN (Studien zur antiken Stadt 15; Dr. Ludwig Reichert Verlag, Wiesbaden2015). Pp. 309, 50 Abb. in text, numerous ills. in catalogue, Beil. 13. ISBN 978-3-95490-097-8. - Volume 31

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0350.005

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 head0.015
GPT teacher head0.253
Teacher spread0.238 · 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
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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