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Record W4211123654 · doi:10.3138/seminar.58.1.4

Erkenntnis und Erleuchtung: Die Metaphern „Spiegel“ und „Licht“ bei David von Augsburg im Blickfeld von historischer Semantik und analogischer Bedeutungsbildung

2022· article· en· W4211123654 on OpenAlexvenueno aff
René Wetzel, Robert Gisselbaek

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyArgument (complex analysis)ConceptualizationVernacularEpistemologyArtLiteratureCognitive scienceLinguisticsPsychologyChemistry

Abstract

fetched live from OpenAlex

In this article, we look at the metaphors of “mirror” and “light” in medieval vernacular literature to examine the influence of their semantics on the conceptualization of cognition. We argue that “mirror” and “light” are traditional means to express and to reflect cognitive processes. Speaking metaphorically is thus intimately related to understanding concepts in general but also allows the shaping as well as the transmission of concepts. In support of our argument, we will, in the second part of this paper, carefully consider David von Augsburg’s Spiegel der Tugend ( Mirror of Virtue), which blends the metaphors “mirror” and “light” conceptually.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.304
Teacher spread0.250 · 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
Published2022
Admission routes1
Has abstractyes

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