MétaCan
Menu
Back to cohort
Record W3002202015 · doi:10.1353/cnd.2016.0016

Mapping Exile: The Route of the Judea in "Youth"

2016· article· en· W3002202015 on OpenAlexaboutno aff
Anne Luyat

Bibliographic record

VenueConradiana · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicJoseph Conrad and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureNarrativeShadow (psychology)HistoryLiteratureDefamiliarizationLiterarinessArtArt historyPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

In "Youth," a picaresque chronicle about the reversals of fortune endured by the captain and crew of the barque Judea, Joseph Conrad creates an interior parallel journey for his narrator Marlow that is based on two nineteenth-century books, Burnaby's A Ride to Khiva: Travels and Adventures in Central Asia and Thomas Carlyle's Sartor Resartus. Strikingly different from each other, these two works suggest an alternative journey for Marlow. The fate of the Judea, its precious cargo, and its shipwrecked crew cast a dark shadow over Marlow's jaunty remembrance of his first voyage, leaving the reader with an impression of strangeness and defamiliarization that enhances and transforms the familiar sea voyage into a reflection on memory and narrative.

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)0.002
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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.011
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.189
Teacher spread0.163 · 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 venueConradianaSame topicJoseph Conrad and LiteratureFrench-language works237,207