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Record W7015406097

Table ronde. Le roman post-révolutionnaire, des identités fluctuantes: Un garçon pour le trottoir, écrire la prostitution masculine dans l'Enfant du bordel (1800)

2019· other· fr· W7015406097 on OpenAlexaboutno aff

Bibliographic record

VenueDépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · 2019
Typeother
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBourgeoisieAntipodesTable (database)Nova scotia
DOInot available

Abstract

fetched live from OpenAlex

[FR] Roman-mémoires pornographique erronément attribué par les bibliographes de la fin du XIXe siècle à Pigault-Lebrun, L’Enfant du bordel (1800) est une œuvre énigmatique et génériquement difficile à saisir. Appartenant au genre romanesque, elle cristallise pourtant de nombreuses traditions littéraires, au croisement desquelles les romanciers post-révolutionnaires doivent s’inscrire afin de satisfaire un lectorat bourgeois qui tend à s’accroître. Aux différents sous-genres auxquels ce roman pourrait répondre, il faudrait originalement ajouter celui du « roman du prostitué » :significativement omise par l’historiographie, cette nouvelle étiquette résume économiquement l’intrigue de L’Enfant du bordel. Évoquant un jeune garçon conduit à l’exercice de la prostitution, le texte révélerait l’existence non seulement littéraire, mais également historique d’une figure encore aujourd’hui méconnue :celle du prostitué. Levant le voile sur un invisible social, ce roman décrirait en miroir une société qui s’embourgeoise et qui deviendrait, à l'aube du XIXe siècle, d'autant plus favorable à la répression d’une prostitution masculine alors aux antipodes des valeurs viriles qu’elle cherche à diffuser.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.076
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0760.012

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 head0.006
GPT teacher head0.171
Teacher spread0.166 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

Explore more

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