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Record W2989789586 · doi:10.7202/1065528ar

LA FANFICTION NUMÉRIQUE : UN ESPACE LETTRÉ DE COMMUNICATION ET DE CRÉATION

2019· article· fr· W2989789586 on OpenAlex
Magali Brunel

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

VenueRevue de recherches en littératie médiatique multimodale · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’article présente une expérimentation qui vise à proposer une adaptation en contexte scolaire des pratiques sociales de fanfiction. Après avoir identifié les caractéristiques de ces pratiques qui fondent de véritables espaces lettrés, il s’agit de montrer leurs convergences avec certaines pistes que la didactique de la littérature promeut, en particulier le développement d’un sujet lecteur, la constitution de communautés de lecteurs dans la classe ou encore l’accompagnement d’un sujet scripteur créatif. L’article décrit alors la conception d’une plateforme de fanfiction, réalisée dans le cadre d’une recherche collaborative, et analyse comment chaque espace de la fanfiction permet de développer des compétences littéraires spécifiques.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.298
Teacher spread0.264 · 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