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Record W2550686651 · doi:10.4000/caliban.1000

La Première Guerre Mondiale vue par Einstürzende Neubauten

2015· article· fr· W2550686651 on OpenAlexaff
Maxime Lachaud

Bibliographic record

VenueCaliban · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsFlemishTributeInfantryGermanFellJazzHumanitiesHistoryOrder (exchange)ArtWorld War IIArt historyCartographyGeographyArchaeology

Abstract

fetched live from OpenAlex

On November 7th, 2014, the German avant-garde musicians Einstürzende Neubauten released a new album based on a performance commissionned by the Flemish city of Diksmuide in order to commemorate the beginning of the First World War. Through research, they fell upon recordings made by linguists during these years or upon the songs of the Harlem Hellfighters, an infantry regiment composed of Afro-American musicians who introduced jazz in Europe. In this interview, the band’s leader Blixa Bargeld explains their will to come back to ancient forms of music and to explore new dimensions of their art by using the discoveries they have made, while paying tribute to the persons who died in this tragic conflict and considering war as an ongoing process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.056
GPT teacher head0.250
Teacher spread0.193 · 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
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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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