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Record W2618254954 · doi:10.16995/dm.48

The digital edition of the medieval charters of the Abbey of Saint-Denis: first results and prospects

2013· article· en· W2618254954 on OpenAlexvenueno aff
Florence Clavaud

Bibliographic record

VenueDigital Medievalist · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Iberian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSAINTHistoryComputer scienceClassicsLibrary scienceArt history

Abstract

fetched live from OpenAlex

In 2006, the École nationale des chartes launched a research project whose main purpose was to edit and publish the almost entirely unedited medieval series of charters of the Abbey of Saint-Denis. Because of the great quantity and dissemination of those charters, the critical edition is a progressive digital work based not on the original documents but on the richest medieval cartulary that has been kept, the Cartulaire blanc (i.e. the “White Cartulary”), which contains 2,600 copies of charters. Olivier Guyotjeannin is the scientific leader of the project, Florence Clavaud is the IT leader. In order to provide quick access to the entire content of the cartulary, the edition integrates images of the manuscript, images and an edition of one of the inventories of the charters (the Inventaire général, i.e. the General Inventory), which was established between 1680 and 1720. This digital corpus now includes about 4,370 images and several XML files (EAD files for the edition of the Inventaire général, TEI files for the ongoing edition of the Cartulaire blanc, METS files to express the relations between the components of the corpus), whose models are explained and discussed. The website has been built by using and adapting open source preexisting tools. It was released in June 2010 (see http://saint-denis.enc.sorbonne.fr), and its content and functionalities are evolving. At this stage of the project, this article includes a prospective assessment of the results obtained.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.197
Teacher spread0.182 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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