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Record W7114917353 · doi:10.17192/eb2025.0565

Indices quidam Ioannis Bugenhagii Pomerani in evangelia (ut vocant) dominicalia

2025· article· la· W7114917353 on OpenAlexaboutno aff

Bibliographic record

Venuedata_UMR · 2025
Typearticle
Languagela
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)Quarter (Canadian coin)Key (lock)Index (typography)

Abstract

fetched live from OpenAlex

Elektronische Reproduktion von: Indices Qvidam Ioannis Bvgenhagii Pomerani in Euangelia (ut uocant) Dominicalia : Insuper usui temporum & Sanctorum totius anni seruientia / Ab Ipso Avtore Iam primu[m] emissi & locupletati. - Witembergae : Lufft, 1524. - [44] Bl. : Ill. - Standort: Universität Marburg, Universitätsbibliothek. - Signatur: 095 XVI C 372 e # Marburg. - Bemerkungen: Vorlageform des Erscheinungsvermerks: VVittembergae. 1524. Kolophon: Vuittembergae, apud Ioannem Lufft. Anno Domini. M. D. XXIIII. - Bibliographischer Nachweis: Verzeichnis der im deutschen Sprachbereich erschienenen Drucke des 16. Jahrhunderts, B 9333. - Digitalisiert 2025

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 score0.074
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.009
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0740.012

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 head0.018
GPT teacher head0.302
Teacher spread0.284 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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