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Record W1843751706 · doi:10.22456/2238-8915.29971

DISCURSO DE VIAGEM E SENSO DE ALTERIDADE

2003· article· fr· W1843751706 on OpenAlexaff
Wladimir Krysinski

Bibliographic record

VenueOrganon · 2003
Typearticle
Languagefr
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Un des archétypes parmi les plus productifs de la littérature,le voyage est consubstantiel à l’histoire, à la mythologie et à l’ethnographie.Le voyage compris comme éloignement sinueux, fonde un rapportfonctionnel entre distance et émotion et conditionne les formes symboliquesqui s’interposent entre le voyageur-narrateur, l’espace et le temps. Cesrapports et ces formes sont portés par un discours qui insère sa subjectivitédans l’objectivité du réel, de l’histoire, du géographique, du social et dupolitique. Les textes d’une diachronie littéraire qui s’inscrit dans une longuedurée depuis Conrad jusqu’à Abish, donnent à voir comment la positiondes narrateurs de même que leurs opérations discursives et textuellesdéterminent le sens de l’altérité en l’inscrivant dans un jeu relationnel.Nous essayons de démontrer comment le voyage dans la littératuremoderne est avant tout un opérateur cognitif, générateur de savoirs diverset de méta-discours.

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)0.003
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.030
Scholarly communication0.0110.008
Open science0.0010.006
Research integrity0.0010.003
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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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