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Record W4283276898 · doi:10.3828/qs.2022.7

La représentation de « contre-espaces » au service de la construction identitaire dans <i>Volkswagen Blues</i> et <i>La tournée d’automne</i> de Jacques Poulin

2022· article· fr· W4283276898 on OpenAlexaff
Marie-Lise Auvray

Bibliographic record

VenueQuebec Studies · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicPhilosophy and Social Theory
Canadian institutionsUniversité Sainte-Anne
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Chez Jacques Poulin, les personnages se construisent en limitant les contacts à un nombre restreint de personnes. Cette attention notable que l’auteur porte à l’individu, au corps, et à son rapport à l’Autre, et pas particulièrement aux autres, trouve en partie sa source dans l’intérêt singulier qu’il manifeste à l’espace. En effet, le corps étant le « point zéro » (Foucault 2009, 18), l’origine de tous les espaces, sans lui aucun d’eux n’est identifiable en tant que tel: « Mon corps est comme la Cité du Soleil, il n’a pas de lieu, mais c’est de lui que sortent et que rayonnent tous les lieux possibles, réels ou utopiques » (ibid.). L’individu est alors acteur, créateur de son propre espace de vie, oscillant entre rêve et réalité, entre liberté et réalité, entre espaces hétérotopiques et utopiques, autrement nommés « contre-espaces », – « des lieux qui s’opposent à tous les autres, qui sont destinés en quelque sorte à les effacer, à les neutraliser ou à les purifier » (Foucault 2009, 24) – et non utopiques. In fine, le rapport à la réalité est propre à soi, mais, pour les protagonistes pouliniens, l’équilibre est essentiel.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.029
Scholarly communication0.0110.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.370
Teacher spread0.337 · 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
Published2022
Admission routes1
Has abstractyes

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