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Record W2970223066 · doi:10.3138/flor.33.008

Leaf 4 in Otto Ege’s Fifty Original Leaves Portfolio — A New Identification: Sermons by Philip the Chancellor (With a Partial Handlist of Sermons on Leaf 4 from Various Collections)

2016· article· en· W2970223066 on OpenAlexaffvenueabout
Yin Liu, Ariel Brecht

Bibliographic record

VenueFlorilegium · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIdentification (biology)PortfolioClassicsArtHistoryBotanyBiologyEconomics

Abstract

fetched live from OpenAlex

Otto Ege’s identification of Leaf 4 in his portfolio Fifty Original Leaves from Medieval Manuscripts as a leaf from a Psalter has been generally accepted since Ege’s death in 1951. However, closer examination of the leaf owned by the University of Saskatchewan reveals that the parent manuscript is not a twelfth-century Psalter written in Caroline minuscule, as Ege asserted, but a thirteenth-century collection of Philip the Chancellor’s sermons on the Psalms, written in a Protogothic script.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.017
GPT teacher head0.208
Teacher spread0.191 · 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
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

Citations1
Published2016
Admission routes3
Has abstractyes

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Same venueFlorilegiumSame topicMedieval Literature and HistoryFrench-language works237,207