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Un spectre hante le rock… L’obsession patrimoniale, les musiques populaires et actuelles et les enjeux de la « muséomomification »

2012· article· fr· W2076964395 on OpenAlexaboutno aff
Philippe Le Guern

Bibliographic record

VenueQuestions de communication · 2012
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Une histoire de fantmes T oute cette histoire prend racine du ct des Beatles, Paris, puis Liverpool, puis elle tend ses rhizomes Laval, en Mayenne, et dans d'autres lieux encore Les Beatles Paris tout d'abord, ou plutt, John Lennon la Cit de la musique entre octobre 2005 et juin 2006. John Lennon, son fantme et ses ftiches. J'arpente les traves de l'exposition, en compagnie de sociologues amis (Dominique Pasquier, Patrick Mignon, Marc Touch et Herv Glevarec) mais nous ne sommes plus tout fait sociologues et plutt fans. Avec Marc Touch, nous nous engageons dans ce qui se prsente comme la reconstitution d'une chambre de teenagers de la in des annes 50. Papiers peints, mobilier, posters, bande son vintage, tout est raccord un dtail prs : la musique qui se dverse sort d'une chane et de haut-parleurs en stro. S'engage alors une longue conversation avec Marc Touch sur l'attention scrupuleuse accorder aux cultures matrielles dans ce genre d'exposition : la chane hi-i n'est pas problmatique parce qu'elle est anachronique. Elle ne permet pas de comprendre, ou mme d'imaginer l'exprience sensible de l'coute sur un Teppaz ou sur tout autre tourne-disque de l'poque, la presque absence de basses, le son qui parat aujourd'hui nasillard, l'coute en monophonie, le lien

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.020
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.054
GPT teacher head0.323
Teacher spread0.269 · 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 designQualitative
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

Citations11
Published2012
Admission routes1
Has abstractyes

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