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Record W1601090101 · doi:10.4000/lisa.613

“I can’t live there no more” :Baldwin and Škvoreckv on Jazz and Exile

2022· article· en· W1601090101 on OpenAlexaboutno aff
Charles Sabatos

Bibliographic record

VenueRevue LISA / LISA e-journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsJazzHumanitiesArtArt history

Abstract

fetched live from OpenAlex

Cet article examine les thèmes croisés du jazz et de l’exil dans Another Country de James Baldwin et The Bass Saxophone de l’écrivain tchéco-canadien Josef Škvorecký. D’autres écrivains exilés afro-américains et tchèques tels Richard Wright et Milan Kundera ont insisté sur l’aspect politique du jazz, que Wright décrit comme un “rejet extatique” de la société et que Kundera définit comme en constante évolution, en contraste avec la musique populaire. Dans Another Country de Baldwin, le jazz est fortement lié aux personnages les plus en marge de la société américaine: non seulement Rufus, le musicien de jazz noir, mais aussi Eric, le Blanc expatrié revenant de France. La musique de Bessie Smith et Billie Holiday offre une toile de fond aux moments les plus intimes de ces personnages, et elle-même témoigne d’un profond désir de trouver une meilleure patrie, malheureusement inexistante. Pour Škvorecký (qui a quitté l’Europe de l’Est pour l’Amérique du Nord) et Baldwin (qui a quitté l’Amérique pour passer une grande partie de sa vie en Europe) le jazz transforme les expériences douloureuses en art, servant à la fois d’inspiration et de catharsis.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0130.026
Scholarly communication0.0110.008
Open science0.0010.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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
Published2022
Admission routes1
Has abstractyes

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