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Record W4388968984 · doi:10.3828/qs.2023.20

<i>Bermudes</i> de Claire Legendre: (S’)échouer dans la modernité liquide

2023· article· fr· W4388968984 on OpenAlexaboutno aff
Michèle A. Schaal

Bibliographic record

VenueQuebec Studies · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Septième roman de Claire Legendre et première de ses fictions publiées au Québec qui se déroule entièrement dans la province, Bermudes (2020) renoue avec la critique de l’hypermodernité propre aux œuvres legendriennes des années 2000. Le récit propose un portrait de l’échec inhérent à l’ère hypermoderne, contexte que le sociologue Zygmunt Bauman (2000) nomme aussi « modernité liquide » en raison de l’instabilité qui la caractérise. La narratrice anonyme aspire à la réussite absolue mais n’y parvient jamais, incarnant ainsi cette individue par défaut, véritable naufragée de la modernité liquide. Legendre explore aussi davantage comment les relations interpersonnelles et l’amour pâtissent de ce contexte délétère. Un approfondissement, par l’autrice, qui compense un quasi impensé de la sociologie de l’hypermodernité: une perspective féministe intersectionnelle. Bermude s propose également une dimension inédite: une échappatoire à cette modernité liquide. L’ultime section du roman laisse place aux voix des habitant·e·s de l’île semi-déserte d’Anticosti. Or, la plupart ont choisi d’y résider afin de fuir la nocivité hypermoderne. Cette dernière partie de Bermudes s’inscrit, d’une part, dans la pensée du théoricien queer Jack Halberstam (2011) pour qui l’échec constitue une forme de résistance à l’hypermodernité, et, d’autre part, dans la communitas que défend Bauman comme alternative à la modernité liquide.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.301
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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