MétaCan
Menu
Back to cohort
Record W7135709272

The Influence of Jack Kerouac on Jacques Poulin : Identity Search in On the road and Volkswagen blues

2016· dissertation· fr· W7135709272 on OpenAlexaboutno aff
Sára Töröková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2016
Typedissertation
Languagefr
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsBluesParadiseIdentity (music)NarrativeOrder (exchange)EPIC
DOInot available

Abstract

fetched live from OpenAlex

Late 1950s, American writer Jack Kerouac publishes his novel On the road which completely change the perception of literature: 120-foot-long scroll of teletype paper, written in three weeks and using the technique of stream of conciousness, the novel narrate a story about Sal Paradise and Dean Moriarty who are travelling around theUSA, inspired by Kerouac's own experience. The book has a roaring success and play an important role in forming a groupe of writers known as "beatniks". Almost 30 years later, Jacques Poulin publishes his sixth novel Volkswagen blues, story about a Canadian-francophone writer and a young Indian woman crossing the northamerican continent in order to find a lost brother. The objective of this thesis is to shed light on the influence of Kerouac's autobiographical narration on Poulin's work and analyse deeply the role of this American idol in the Canadian-francophone literature. Powered by TCPDF (www.tcpdf.org)

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)0.005
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 score0.324
Threshold uncertainty score0.645

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0270.016
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.255
Teacher spread0.244 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicPoetry Analysis and CriticismFrench-language works237,207