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Record W3137886401 · doi:10.4000/ifha.11171

Gregor Schöllgen, Krieg. Hundert Jahre Weltgeschichte

2021· article· de· W3137886401 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2021
Typearticle
Languagede
FieldArts and Humanities
TopicMemory, History, Trauma, Identity
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Gregor Schöllgen, professeur désormais émérite de l’université Erlangen, a présenté à la fin de sa carrière active un ouvrage qui se veut le « portrait d‘un monde qui se trouve, depuis 100 ans, au bord de l‘abysse » (p. 8). Le titre – « Guerre : cent ans d‘histoire mondiale » – annonce le fil rouge de l‘ouvrage, mais pas le thème auquel l‘auteur se bornerait dans sa démarche. Si la catégorie de guerre, de conflit dans ses formes variées, reste bien l’angle d‘approche tout au long du récit, Gr...

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.

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, Research integrity, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.010

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 head0.019
GPT teacher head0.221
Teacher spread0.203 · 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