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Record W4367157140 · doi:10.7202/1092764ar

Ruée vers la nature : foules en goguette dans le roman du xixe siècle

2022· article· fr· W4367157140 on OpenAlexvenueno aff
Aurore Peyroles

Bibliographic record

VenueÉtudes littéraires · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Symbole de « l’avènement des loisirs » (Corbin), la partie de campagne fait figure de nouveau rituel au xix e siècle, dont nombre de romanciers s’emparent. La banlieue verte devient ainsi le décor où se déverse une foule particulière : foule urbaine où se mêlent ouvriers, prostituées, bourgeois en quête de délassement, mais foule du dimanche, qui entend bien rompre avec les contraintes sociales de la semaine. Cet article se propose d’étudier cette foule, éminemment parisienne alors même qu’elle échappe à la capitale. En insistant sur le nombre et la densité de la foule qui envahit chaque dimanche les communes limitrophes de Paris, Zola, Maupassant, les Goncourt soulignent l’inadéquation entre l’idéal attaché à la nature, au plein air revigorant et régénérateur, et la réalité vécue, c’est-à-dire l’impossibilité d’échapper à la foule, la proximité subie, l’herbe souillée, l’air irrespirable des auberges et les mauvaises fritures. La banlieue verte se transforme ainsi sous la plume des romanciers en caricature de cadre bucolique, illusion de nature réduite aux dimensions d’un sentier balisé ou d’une bruyante guinguette. Le cadre autrefois idyllique, propice aux rêveries et aux amours champêtres, devient celui d’une explosion de vulgarité conformiste où se concentre toute la bêtise abhorrée par les grands romanciers du siècle.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
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
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.248
Teacher spread0.237 · 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 teacher head, not a consensus.

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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