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Record W2555407592 · doi:10.4000/volume.4928

Bérurier Noir. Sociogenèse culturelle et itinéraire personnel

2016· article· fr· W2555407592 on OpenAlexaboutno aff

Bibliographic record

VenueVolume ! · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsHumanitiesArtEthnologySociology

Abstract

fetched live from OpenAlex

A travers un exercice périlleux d’égo-histoire, cette contribution sur le groupe Bérurier Noir s’attache à présenter des aspects culturels et politiques de la genèse du groupe alternatif des années 1980. L’auteur a privilégié une perspective culturelle qui permet de mieux comprendre les sources d’inspiration des chansons et des thématiques portées par ce groupe musical entre 1983 et 1989. Au fil de quatre temps forts, les lecteurs sont plongés dans un tourbillon d’actions débutant au lycée Paul Valéry (Paris 12e), se poursuivant dans la rue sur le Parvis Beaubourg, les squatts et l’Usine Pali-Kao, pour investir le Zénith de Paris en mars 1988, le Québec et finalement l’Olympia les 9, 10 et 11 novembre 1989 alors que le mur de Berlin tombe. Sur le plan culturel, l’imaginaire élaboré par Bérurier Noir au fil de son existence est dévoilé : du cinéma d’avant-garde japonais aux films politiques européens, de la bande à Baader-Meinhof à l’association Actes Energie Perdue, de la boutique Harry Cover (aux Halles) aux dojos de Karaté, du « No future » au « Yes future », du noir & blanc à la couleur. En outre, l’Asie apparaît comme le fil conducteur invisible d’une expérience plus personnelle. Cette contribution peut se concevoir comme un essai d’interprétation d’une histoire culturelle en construction.

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 categoriesScience and technology studies, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.005

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 head0.017
GPT teacher head0.213
Teacher spread0.196 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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