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Record W4232226719 · doi:10.4000/ifha.8393

Hiram Kümper, Materialwissenschaft Mediävistik. Eine Einführung in die Historischen Hilfswissenschaften

2015· article· de· W4232226719 on OpenAlexaff
Pierre Monnet

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2015
Typearticle
Languagede
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Cet ouvrage appartient au genre des outils mis à la disposition des médiévistes pour aborder, lire, transcrire, interpréter les documents de leur discipline. Sous le titre classique de « sciences auxiliaires », le manuel se propose toutefois de réordonner ce que d’aucuns appellent encore les sciences de l’érudition autour de trois blocs qui s’entendent comme autant d’opérations intellectuelles : « lire et écrire » (paléographie, édition, supports, codicologie et incunablologie, inscriptions) ...

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.024
GPT teacher head0.223
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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