MétaCan
Menu
Back to cohort
Record W7132845708 · doi:10.1353/rmc.2025.a984198

La Ville et le quotidien dans De l'autre côté, à Montréal et Hiver nucléaire

2025· article· en· W7132845708 on OpenAlexaboutno aff
Marla Epp

Bibliographic record

VenueRomance notes · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic workSociological researchIdentity (music)

Abstract

fetched live from OpenAlex

Résumé: Cet article analyse la présence du quotidien dans deux bandes dessinées qui suivent les aventures d'une jeune protagoniste à Montréal : De l'autre côté, à Montréal (2014) d'Émilie Plateau et Hiver nucléaire (2014) de Cab (Caroline Breault). C'est en s'aventurant dans la rue, premier lieu du quotidien selon Maurice Blanchot, que les filles, initialement enfermées dans leurs routines, commencent à se frayer de nouveaux chemins. Cet article étudie la manière dont les protagonistes réagissent quand leur quotidien devient étrange et dans quelle mesure ces expériences provoquent un changement de perspective. Il s'agit de montrer que ces bandes dessinées mettent en scène une quête individuelle et émotionnelle où il n'est pas question de se libérer définitivement du quotidien, mais tout simplement de le contrôler. En d'autres mots, pour reprendre l'idée de Michel de Certeau, ces textes tracent les parcours urbains de ces personnages dans la recherche et la découverte singulières de leurs manières personnelles et uniques d'être au monde.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.075
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.011
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRomance notesSame topicLiterature and Culture StudiesFrench-language works237,207