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Record W1618158829 · doi:10.4000/volume.4158

“The last period when the performing arts were at the core of the music industry”: John Mullen’s La Chanson populaire en Grande-Bretagne pendant la Grande Guerre 1914-1918

2014· article· en· W1618158829 on OpenAlex
Olivier Julien

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

VenueVolume ! · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsPeriod (music)ArtThe artsCore (optical fiber)Visual artsHumanitiesArt historyEngineeringTelecommunicationsAesthetics

Abstract

fetched live from OpenAlex

As its title indicates, John Mullen’s book addresses popular song in Great Britain during the First World War (1914-1918). But what the title doesn’t tell is that it was, in terms of research output, the keystone of the HDR thesis (“Habilitation à Diriger les Recherches”) Mullen submitted in November 2012 at Paris-Est Créteil University – where he has been lecturing British Civilization for years. As such, La Chanson populaire en Grande-Bretagne pendant la Grande Guerre 1914-1918 does comply ...

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.206
Teacher spread0.182 · 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