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Record W2781892898 · doi:10.63723/publije.2017106

De l’imaginaire à la création de mondes possibles : espaces et immersion fictionnelle

2016· article· fr· W2781892898 on OpenAlexaboutno aff
Anne-Lise Bégué

Bibliographic record

VenuePublije · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtImmersion (mathematics)MathematicsPure mathematics

Abstract

fetched live from OpenAlex

Cette étude a pour but de comprendre la relation qu’il peut exister entre la création de mondes imaginaires et les espaces mimétiques de l’immersion fictionnelle. Pour ce faire, dans quatre ouvrages destinés à l’enfance, à savoir Alice’s Adventures in Wonderland de Lewis Carroll, Le Avventure di Pinocchio de Carlo Collodi, Peter Pan de James Matthew Barrie et Le Petit Prince d’Antoine de Saint-Exupéry, nous analyserons trois espaces-types illustrant l’immersion fictionnelle, l’espace de lecture, l’espace onirique et l’espace de jeux enfantins, pour établir les étapes de la constitution d’un monde imaginaire et comprendre le passage transitoire d’une littérature à une autre.In this contribution, we talk about the relation between wonderlands and space of fictional immersion in four books of childhood literature: Alice’s Adventures in Wonderland (Lewis Carroll), Le Avventure di Pinocchio (Carlo Collodi), Peter Pan by (James Matthew Barrie) and Le Petit Prince (Antoine de Saint-Exupéry). This study analyzes three spaces which illustrate fictional immersion : space of read, space of dream and space of childhood playing. These items will establish the process of the construction of imaginaries worlds and understand the transition between two literatures.

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 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 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 score0.788
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.273
Teacher spread0.250 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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