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Record W3049757625 · doi:10.1017/9781787448612.008

Cultural Heritage Versus Legal Inheritance: Conflicting Views of Goethe’s Material Possessions, or Rereading His Personal Library

2020· other· en· W3049757625 on OpenAlexaboutno aff
Stefan Höppner

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInheritance (genetic algorithm)Cultural heritageEnvironmental ethicsSociologyGenealogyHistoryPhilosophyArchaeologyBiology

Abstract

fetched live from OpenAlex

IT WAS IN the mid-1800s that Goethe and Schiller were proclaimed Germany's “national” authors. Since then they have been co-opted as figureheads for the political values of virtually every German political state from the German Empire to the present day. This glorification comes at a cost, however, namely the authors’ “Musealisierung und Mortifizierung” (musealization and mortification), as Dieter Borchmeyer has called it. However, this process may, in fact, be an involuntary and almost inevitable side effect of being part of any “cultural heritage.” In this context, Goethe and Schiller stand for the “greatness” of German culture at large and have done so since at least since 1859, the centenary of Friedrich Schiller's birth. However, while the concepts typically associated with the German terms Kulturerbe and kulturelles Erbe (cultural heritage) have been in place since at least the mid-1800s and are now omnipresent, these specific German expressions only became common after 1945 and were likely adopted from the earlier French and English terms patrimoine and cultural heritage , respectively. This recent adoption of the terms Kulturerbe and kulturelles Erbe was likely due to international UN and UNESCO conventions. Moreover, the East German Erbediskussion (discussion of heritage) that postulated a strong continuity between the “humanist” values of Weimar classicism and the political and cultural policies of the GDR has likely contributed as well. That does not mean, however, that associations between cultural artifacts and their creators, on the one hand, and national identity, on the other, are recent inventions. In fact, quite the opposite is true; so-called national authors have been considered vital elements of national identity since at least the 1800s (e.g., Alexander Pushkin for Russia, Adam Mickiewicz for Poland, and, more recently, Margaret Atwood for Canada) and have been intimately associated with the social construction of nations as “imagined communities” (Benedict Anderson) since the early 1800s. The idea that certain cultural artifacts are, at least metaphorically, owned by an entire population dates back to the French Revolution and this concept subsequently served to legitimize art thefts committed by the Napoleonic armies throughout Europe. As Bénédicte Savoy has shown, postrevolutionary France viewed itself as humankind's most progressive nation and (from this point of view) as entitled to gather the world's most important artworks in its museums, first and foremost the Louvre.

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)0.007
metaresearch head score (Gemma)0.010
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 score0.033
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0120.064
Scholarly communication0.0200.020
Open science0.0020.011
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.058
GPT teacher head0.288
Teacher spread0.230 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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