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Record W3197866366 · doi:10.3138/seminar.57.3.1

The Global Medieval Sourcebook: Creating a Sustainable Digital Anthology of Medieval Texts and Translations

2021· article· en· W3197866366 on OpenAlexvenueno aff
Mae Velloso-Lyons, Quinn Dombrowski, Kathryn Starkey

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsDigital curationWork (physics)Relevance (law)Digital collectionsDigital humanitiesWorld Wide WebComputer scienceLibrary scienceHistoryEngineeringPolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper introduces the Global Medieval Sourcebook (GMS), an online repository of medieval texts and translations with an open network of contributors. Drawing on our experience developing and building this project in two phases over six years, we reflect on questions regarding editorial, curatorial, and translation practices, and on technical issues involved in the preparation, display, and preservation of texts for online publication. As an example of a scholar-led digital project, the trajectory of the GMS has broad relevance for scholars planning digital curation work of their own. In particular, it offers a salutary example of the infrastructural barriers to sustaining collaborative digital work and a possible model for preserving a concluded project.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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