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Record W2962946243 · doi:10.4000/pratiques.5876

Récits sériels exploratoires

2019· article· fr· W2962946243 on OpenAlexaff
Marta Boni, Camille Martinez

Bibliographic record

VenuePratiques · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Partant d’une approche pragmatique de la réception qui considère la série télévisée comme processus et expérience exploratoire d’un espace diégétique pluridirectionnel, cet article allie analyse esthétique et narratologique en comparant les séries télévisées à des mondes fictionnels. À travers divers exemples de programmes des années 1990 à aujourd’hui, l’objectif est de penser les séries comme des expériences de construction de mondes et de comprendre les mécanismes de leur pouvoir immersif sur le long terme. L’espace, conçu en tant que monde ou territoire diégétique, permettra de compléter les méthodes d’analyse des séries télévisées présentant le temps comme moteur narratif principal et s’appuiera sur les théories spatiales des études cinématographiques et médiatiques.

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)0.013
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 score0.079
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0050.003
Scholarly communication0.0090.005
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0790.017

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 head0.018
GPT teacher head0.243
Teacher spread0.224 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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