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Record W2590597886 · doi:10.4000/ifha.1301

SCHULZE-DÖRRLAMM, Mechthild, Das Reichsschwert. Ein Herrschaftszeichen des Saliers Heinrich IV. und des Welfen Otto IV. Mit dem Exkurs : der verschollene Gürtel Kaiser Ottos IV.

2013· article· de· W2590597886 on OpenAlexaff
Joseph Morsel

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2013
Typearticle
Languagede
FieldArts and Humanities
TopicMedieval European History and Architecture
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsSchulze methodHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Depuis Percy Ernst Schramm, l’étude des symboles du pouvoir royal est un courant actif de la médiévistique d’outre-Rhin. J.P. montre toutefois combien le risque est grand de « rétro-projeter » des conceptions tardives sur des périodes anciennes. Les médiévistes allemands sont longtemps partis du présupposé que certains insignes royaux particuliers (couronne fermée, croix, lance, etc.) étaient indispensables pour garantir la légitimité du sacre royal, en particulier en cas de double élection, ...

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 score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.005
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0210.004

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 head0.224
Teacher spread0.209 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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