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Record W3031611231 · doi:10.7202/1069146ar

Le roman face à la crise de la mémoire

2020· article· fr· W3031611231 on OpenAlexaffvenue
Isabelle Daunais

Bibliographic record

VenueTangence · 2020
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Jusqu’au début du xixe siècle, il n’était pas impossible pour un individu de tenir dans son seul esprit, et donc dans sa mémoire, l’ensemble raisonnable des connaissances nécessaires à la compréhension du monde où il vivait — possibilité dont Milan Kundera a fait de Goethe la figure emblématique. La multiplication des savoirs et des techniques, à partir du milieu xixe siècle, a mis fin à cette possibilité et donné naissance à ce que le critique Richard Terdiman a appelé la « crise de la mémoire », c’est-à-dire l’expérience déstabilisante d’une mémoire ressentie comme partielle et tronquée. Entre cette crise et le développement du roman au xixe siècle, il est possible d’établir un parallèle : le souvenir, par définition imparfait, que l’on a de la lecture d’un roman recoupe la mémoire également imparfaite que l’on commence alors à avoir du savoir humain. À partir de cette hypothèse, trois grands moments de cette convergence — le moment balzacien (moment de résistance à l’oubli), le tournant du xxe siècle (moment d’acceptation de l’oubli) et la période contemporaine (moment de mise à distance de la mémoire) — sont ici envisagés pour voir comment la lecture des romans accompagne notre rapport à la mémoire.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.020
Scholarly communication0.0110.007
Open science0.0010.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0190.004

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 head0.184
GPT teacher head0.311
Teacher spread0.127 · 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
Published2020
Admission routes2
Has abstractyes

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