MétaCan
Menu
Back to cohort
Record W2552208038 · doi:10.7202/1037715ar

Les hobos américains, au croisement des écritures

2016· article· fr· W2552208038 on OpenAlexvenueno aff
Alice Béja

Bibliographic record

VenueSociologie et sociétés · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Comment comprendre le lien entre les sans-abris d’aujourd’hui et les vagabonds de la fin du xix e siècle aux États-Unis ? La figure du hobo , icône culturelle américaine, se construit au tournant du xx e siècle à travers une hybridation des écritures, au carrefour entre littérature, témoignage et sociologie. À travers un panorama des écrits de et sur les vagabonds, de Josiah Flynt à Jack Kerouac, en passant par Jack London et Nels Anderson, cet article cherche à analyser la manière dont le personnage du hobo est idéalisé, mythifié, s’éloignant progressivement aussi bien de la critique du capitalisme qu’il incarne à ses débuts que des réalités de la vie des personnes à la rue depuis les années 1970. À la « culture hobo » du début du xx e siècle, caractérisée par des lieux (la Hobohème analysée par Anderson), des pratiques et des engagements spécifiques, se substitue une image de l’individu — masculin, blanc, hétérosexuel — qui part sur la grand-route en quête d’aventure. Les déterminants sociologiques et économiques de la condition du vagabond sont mis de côté ; le romantisme du personnage du hobo lui ôte sa portée contestataire en même temps qu’il relègue les sans-abris contemporains au statut de victimes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.605
Threshold uncertainty score1.000

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 studies0.0020.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.560
GPT teacher head0.506
Teacher spread0.055 · 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
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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSociologie et sociétésSame topicCrime and Detective Fiction StudiesFrench-language works237,207