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Record W2527267836 · doi:10.4000/ifha.1279

SCHNITZER, Claudia, HÖLSCHER, Petra, Eine gute Figur machen. Kostüm und Fest am Dresdner Hof

2013· article· de· W2527267836 on OpenAlexaff
Claire Gantet

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2013
Typearticle
Languagede
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Ce livre est le catalogue d’une exposition sur la fête et le costume à la cour de Dresde au XVIIIe s., réalisée du 10 septembre au 3 décembre 2000 d’après les fonds du « Salon d’Estampes » de Dresde. D’emblée, ce cabinet (dont C.S. brosse l’histoire), fondé en 1720 et structuré non en collections d’art mais autour des sciences, servit à la fois de bibliothèque et de cabinet d’antiquités, de médailles et d’histoire naturelle. Mais le dessein documentaire et didactique fut soutenu par l’ambiti...

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: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.004
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0260.008

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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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
Published2013
Admission routes1
Has abstractyes

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