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Record W6983164831

L'influence de Réjean Ducharme chez les écrivains de la génération x

2004· dissertation· fr· W6983164831 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2004
Typedissertation
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Context (archaeology)Process (computing)
DOInot available

Abstract

fetched live from OpenAlex

Generation X has often been defined as being without role models or inspiration. Nevertheless, it is possible to detect a sizeable amount of intertextual references in several Quebecer books written by authors of that generation. In Quebec, these young writer's influences are as distinct as they are diverse, varying from Kerouac to Hemingway and from Sartre to Camus. But concerning their Quebecer role model, one name continually returns, that of Rejean Ducharme. The goal of this thesis is to illustrate the presence of ducharmesque universe in three Generation X novels, namely Le souffle de l'harmattan by Sylvain Trudel, Vamp by Christian Mistral and La rage by Louis Hamelin. Within these novels, we will attempt to find the trail of three typical elements to Ducharme's work: the rejection of conformity, the contempt towards a consumer society, and the substitution of a utopian universe for reality. According to Francois Ricard, Ducharme belongs to what he calls the "generation lyrique", which is the eldest baby boomers, while Generation X is composed of Baby Boom's youngest members. Interestingly enough, one should expect such a generational conflict between these two cohorts to incite Generation X writers to despite their predecessor. Hence, this thesis will conclude with a few tentative explanations as to why Generation X authors were so driven to choose Rejean Ducharme, a member of the "generation lyrique", to be their role model.

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)0.007
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: Other · Consensus signal: none
Teacher disagreement score0.184
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.001

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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
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
Published2004
Admission routes1
Has abstractyes

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