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Record W2914817672 · doi:10.7202/1055885ar

Au bord de la Seine avec les Goncourt

2019· article· fr· W2914817672 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArborescences Revue d études françaises · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Literature and Poetry
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Plusieurs romans d’Edmond et Jules de Goncourt ( En 18.. , Charles Demailly , Renée Mauperin , Manette Salomon ) proposent de longues et riches descriptions de la Seine, que nous examinons afin d’en dégager la poétique commune, tout en relevant quelques exceptions marquantes. Les Goncourt interrompent volontiers la trame narrative d’un roman pour se complaire dans des compositions tout en nuances de couleurs, en effets de lumières et d’ombres, en contrastes de mouvements et en orchestrations de sons. Sans être des descriptions de tableaux réels, ces passages sont parfois inspirés d’une oeuvre ou d’un peintre en particulier, et trahissent parfois une tentative, de la part des romanciers, de rivaliser avec les artistes qu’ils admirent. Si leur situation géographique varie, ces scènes partagent un ton mixte qui combine la gaîté et la mélancolie. La Seine et ses bords fonctionnent souvent chez les Goncourt comme un locus amoenu s trompeur ou révélateur : s’y déroulent de brefs interludes idylliques et amoureux qui annoncent néanmoins des naufrages imminents. Un ton mélancolique teinte aussi maintes mentions de la Seine dans le Journal , surtout sous la plume d’Edmond veuf de son frère.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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