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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 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.003
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0170.003

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; 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

Citations1
Published2015
Admission routes1
Has abstractyes

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