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Record W2398927995 · doi:10.3138/seminar.52.2.3

Reading in the Dark: Lost Books, Literacy, and Fifteenth-Century German Literature

2016· article· en· W2398927995 on OpenAlexvenueno aff
Jonathan Green

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFifteenthVernacularReading (process)LiteracyContext (archaeology)GermanPerspective (graphical)LiteratureHistoryClassicsArtSociologyVisual artsPhilosophyLinguistics

Abstract

fetched live from OpenAlex

While the invention of print has often been treated as a media revolution, a reconsideration of the type and page formats of early printed books suggests considerable continuity in physical makeup, and in book markets as well, between manuscript and print. This continuity in turn suggests that recent research on lost books and missing editions, which points towards a much higher number of lost fifteenth-century editions than previously believed, is also relevant for the study of late medieval manuscripts, especially for smaller vernacular works. Shifting the perspective from the books and manuscripts that survive today to those that likely once existed compels a reconsideration of late medieval literacy and the literary context for smaller works, such as the Stricker’s Pfaffe Amis, that were printed in the fifteenth century.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0030.016
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.275
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2016
Admission routes1
Has abstractyes

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