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Following Pausanias: The Quest for Greek Antiquity

2015· article· en· W3089730272 on OpenAlexvenueno aff
Céline Guilmet, Maria Georgopoloulou, Deborah Kazazi, William E. Hutton

Bibliographic record

VenueAestimatio Sources and Studies in the History of Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClassicsAncient historyPhilosophyArtHistory

Abstract

fetched live from OpenAlex

In May of 2007, an international conference was held in Athens under the title (literally translated, In the Footsteps of Pausanias). The conference was a well-funded affair, with substantial support from the European Union and the Greek Ministry of Culture. Large glossy advertisements for the event were posted on the walls of the Athens Metro and in other high-visibility locations throughout the city. The speeches and paper sessions were accompanied by a poster display in the lobby of the National Hellenic Research Foundation and by a special exhibit of Pausanias-related material from the collection of the Gennadius Library of the American School of Classical Studies. The standing-room-only crowds attending the event were offered mementos to purchase, including a beautiful large-scale map showing the routes of Pausanias, and an attractive companion-volume in Greek bearing the title of the conference. Altogether, a remarkable amount of attention was lavished on an author who is little known outside of academia and who remains, in the eyes of many scholars of antiquity, a dull and uninteresting recorder of interesting information. A short time after the conference, an English translation of the companion-volume emerged with the title transformed to Following Pausanias; and it is this edition that is currently under review.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.013
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.191
GPT teacher head0.395
Teacher spread0.204 · 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 designQualitative
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

Citations2
Published2015
Admission routes1
Has abstractyes

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