MétaCan
Menu
Back to cohort
Record W4233846373 · doi:10.16995/dm.54

Stephen Murray and Andrew Tallon, 2012-. Mapping Gothic France. http://mappinggothic.org/

2015· article· en· W4233846373 on OpenAlexvenueno aff
Katherine Werwie

Bibliographic record

VenueDigital Medievalist · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsTimelineArchitectureRendering (computer graphics)Art historySpace (punctuation)NarrativePoliticsArtVisual artsHistoryComputer scienceComputer graphics (images)ArchaeologyLawLiteraturePolitical science

Abstract

fetched live from OpenAlex

The Mapping Gothic website (http://mappinggothic.org/) was originally conceived by Stephen Murray, Professor of Art and Archaeology at Columbia University, and Andrew Tallon, Assistant Professor of Art at Vassar College, as a space to represent Gothic architecture digitally. Aware of the insufficiencies of a two-dimensional screen for rendering these structures, the site compiles panoramic, gigapan images; exact architectural elevations; timelines; and historical narratives to show these buildings in both time and space. The site derives its guiding Hrinciple from Henri Lefèbvre in seeking connections between what it describes as "the architectural space of individual buildings, geo-political space, and the social space resulting from the interaction (collaboration and conflict) between multiple agents – builders and users." Murray and Tallon hope that in addition to providing digital access to these churches, cathedrals, and abbeys, the manipulable platform will allow users to draw their own connections between these Gothic buildings.

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: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score0.919

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.061
GPT teacher head0.255
Teacher spread0.193 · 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
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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueDigital MedievalistSame topicVisual Culture and Art TheoryFrench-language works237,207