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Record W2888776324 · doi:10.29173/af29368

L’imaginaire “vrai” : Françoise Lalande, entre biographie et biofiction

2018· article· fr· W2888776324 on OpenAlexvenueno aff
Mercè Boixareu

Bibliographic record

VenueALTERNATIVE FRANCOPHONE · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cette étude se propose de réfléchir sur les sept textes de Françoise Lalande qui se situent aux frontières entre la biographie et la biofiction. Après un bref aperçu théorique sur ces genres narratifs, très importants surtout dès les années 80 et jusqu’à nos jours, nous procéderons à une réorganisation des ouvrages de l’auteure, en fonction de la problématique générique, puisque ces biofictions sont non seulement narratives mais aussi dramatiques et même poétiques. Les différents textes se basent sur la vie, ou des épisodes de vies, des personnages d’un univers culturel qui vont de Jean-Jacques Rousseau à Christian Dotremont. Le présent article considère les procédés de représentation des différents personnages, ainsi que les thèmes ou les préoccupations majeures qui y sont évoqués : a production artistique et sa relation avec le malheur, les pertes de l’enfance, les relations familiales, les amours parfois tragiques, la tentation du suicide, et toujours, la quête d’un bonheur qui se dérobe. Finalement, nous nous demandons ce qui pousse l’auteure à se greffer sur ces vies tourmentées et son éventuel lien avec le reste de son œuvre.

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)0.003
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: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.019
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.003
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 head0.010
GPT teacher head0.240
Teacher spread0.229 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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