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Record W2214992227 · doi:10.18192/analyses.v7i2.360

Une lettre aux aveugles : la critique photographique d’Hervé Guibert

2012· article· fr· W2214992227 on OpenAlexvenueno aff
Robert Pujade

Bibliographic record

VenueAnalyses Revue de littératures franco-canadiennes et québécoise · 2012
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Literature and Critical Theory
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtTheme (computing)BlindnessArt historyComputer scienceWorld Wide WebMedicineOptometry

Abstract

fetched live from OpenAlex

La critique photographique d’Hervé Guibert au journal Le Monde (1977-1985) s’adresse à un lectorat privé d’illustrations. Tout au long de sa rubrique, il met en place une méthode destinée à développer l’intérêt du public pour des photographies non publiées dans le journal. Cette méthode n’est pas sans liens avec le thème récurrent de la cécité dans ses romans, depuis Des Aveugles jusqu’à Cytomégalovirus. À partir de ce thème, cet article propose une relecture de ce parcours critique qui, par référence à Diderot, prend l’aspect d’une Lettre aux aveugles, à l’usage de lecteurs privés d’images. Il analyse aussi les résonnances de cette attitude critique dans une œuvre partagée entre littérature et photographie.AbstractHervé Guibert, the critic in photography in Le Monde (1977-1985), addresses readers who do not have access to any pictures, since the photos he is referring to are not published in the newspaper. He then sets up a method intended to develop the interest of this particular readership, which is closely linked to a recurring theme in his novels from Des Aveugles to Cytomégalovirus: blindness. This article is a rereading of his career as a critic from this theme, thanks to a reference to a Letter to the blind by Diderot. This article also analyzes the echo of this critical study in his whole work as a writer and as a photographer.

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)0.008
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 score0.057
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.018
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0040.005
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 head0.028
GPT teacher head0.296
Teacher spread0.269 · 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
Published2012
Admission routes1
Has abstractyes

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