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Record W3189905679 · doi:10.33137/rr.v44i1.37042

Maple Wood Heirlooms and the Re-formation of a Dynastic Identity: Elector John of Saxony’s Sermon Notes as Grapho-Relics

2021· article· en· W3189905679 on OpenAlexvenueno aff
Daniel Gehrt

Bibliographic record

VenueRenaissance and Reformation · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsPietySermonIdentity (music)ArtGuardianMapleHistoryLiteratureClassicsPhilosophyTheologyBotanyAestheticsLawPolitical scienceArchaeologyBiology

Abstract

fetched live from OpenAlex

The widespread practice of taking notes on sermons as a form of learning and piety among literate Protestants in the sixteenth century has been largely untreated by scholars. This article offers a brief survey of this phenomenon before focusing on two eight-piece sets of palm-sized maple tablets that Elector John of Saxony used for taking such notes. While research into these rare objects has tended to concentrate almost exclusively on their textual content, this contribution seeks new insights into these tablets by applying methods common to material culture studies. This approach proves to be useful not only for exploring the tablets’ practical features but also for understanding their significance as the earliest surviving tangible expressions of Lutheran piety originating from a Saxon prince. Elector John’s successors regarded these simple objects as “grapho-relics,” elevating them to family heirlooms that symbolized the redefinition of the dynastic identity of the Ernestine Saxon house as the guardian of Luther and his legacy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

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 studies0.0080.016
Scholarly communication0.0070.003
Open science0.0000.004
Research integrity0.0010.002
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 head0.019
GPT teacher head0.296
Teacher spread0.277 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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