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Record W2937100985 · doi:10.31743/ql.4577

L’errance de l’artiste dans La Montagne secrète de Gabrielle Roy

2014· article· en· W2937100985 on OpenAlexaboutno aff
Anna Żurawska

Bibliographic record

VenueQuêtes littéraires · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingArtNarrativeArt historyHumanismHumanitiesLiteraturePhilosophyTheology

Abstract

fetched live from OpenAlex

The aim of the article is to examine the figure of a vagabond and an artist in the novel The Hidden Mountain (La Montagne secrète) by Gabrielle Roy which, according to Antoine Boisclair, is the first Quebec novel completely devoted to painting. It presents the wandering of the artist who does not perceive his vagabondage as movement from one place to another, but regards it as the essence of both his existence and his creation. First, the analysis explores the problem of wandering as narrative basis, examining the tension between the external reality and the inner experience of the painter. Then, the aim of the artist’s journey, symbolically delineated by the Hidden Mountain, is analyzed. The final part of the article is devoted to the concept of art presented in the novel, with particular emphasis on the humanistic dimension of artistic creation.

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)0.002
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 score0.393
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.012
Scholarly communication0.0070.002
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.013
GPT teacher head0.245
Teacher spread0.233 · 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
Published2014
Admission routes1
Has abstractyes

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