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Record W4405521390 · doi:10.4000/12ylk

Un Américain à la découverte de l’Italie : Alan Lomax et la voix du Mezzogiorno (1954-1955)

2024· article· fr· W4405521390 on OpenAlexaff
Ugo Russo

Bibliographic record

VenueLaboratoire italien · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Cet article se penche sur le travail de l’ethnomusicologue américain Alan Lomax lors de son expédition en Italie dans les années 1950 pour documenter la musique traditionnelle en collaboration avec Diego Carpitella. L’aventure lomaxienne en Italie, marquée par une collecte abondante d’enregistrements et de photographies, s’insère dans un climat intellectuel particulier : Lomax est fortement influencé par les travaux d’Ernesto De Martino, par Cristo si è fermato a Eboli de Carlo Levi, ou encore par sa rencontre avec Alberto Moravia.À travers une analyse précise des programmes radiophoniques de Lomax pour la BBC et de ses écrits théoriques, l’article examine la conception lomaxienne de la musique populaire du sud de l’Italie. Selon Lomax, cette musique recèle une richesse et une authenticité insoupçonnées. Les caractéristiques musicales des chants du Sud se distinguent nettement de celles du Nord et traduisent les conditions de vie difficiles et les mœurs archaïques du Mezzogiorno. Dans cette perspective, les voix criardes et gémissantes des femmes traduisent, du berceau au tombeau, le drame d’un Sud qui mérite d’être redécouvert et préservé.

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)0.001
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: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.242
Teacher spread0.220 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueLaboratoire italienSame topicDiverse Musicological StudiesFrench-language works237,207