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Record W4406539203 · doi:10.2307/jj.24215736

Transforming Europe in the Images of the World, 1110-1500

2025· book· en· W4406539203 on OpenAlexfundno aff
Natalia I. Petrovskaia

Bibliographic record

VenueAmsterdam University Press eBooks · 2025
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
FundersUniversitat de BarcelonaUniversity of TorontoUniversiteit UtrechtEuropean CommissionUniversity of LeedsUniversity of OxfordBar-Ilan UniversityBoston CollegeUniversity of CambridgeNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversity of PennsylvaniaPrinceton University
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

This is the first book to examine the wide and important geographical tradition that arose from the description of the world in the Imago mundi – a medieval encyclopedic bestseller, almost unrivalled in popularity from its composition in the 1110s well into the age of print. The Imago mundi was translated into most European vernaculars and extracts from it were adapted into vernacular works ranging from encyclopedias to literary fiction, verse and prose. This is the first study to examine this tradition as a unified whole. It focuses in particular on the permutations undergone by the depiction of the region designated as ‘Europe’ in the original text and its later adaptations. The book demonstrates the incredible flexibility of the original text and how this enabled the transformation of this spatial description to suit the linguistic, political and cultural needs of vernacular adaptations.

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 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 score0.954
Threshold uncertainty score0.439

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 studies0.0000.001
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 head0.030
GPT teacher head0.193
Teacher spread0.163 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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