MétaCan
Menu
Back to cohort
Record W2093430628 · doi:10.4000/trans.239

(Miscege)nación en O Cortiço

2008· article· fr· W2093430628 on OpenAlexaboutno aff
Brian Price

Bibliographic record

VenueTRANS- · 2008
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Écrit un an après la proclamantion d’indépendance du Brésil, O Cortiço de Aluísio Azevedo dépeint la composition démographique du pays avec un sens du détail naturaliste et examine les dangers potentiels de la miscégénation pour la nouvelle république. Influencé par les théories racistes européennes, Azevedo et ses contemporains craignaient que le mélange des races ne finît par diluer les ascendances européennes qui devaient servir de base à la nouvelle société. Dans le roman, le cortiço - une sorte de bourgade prolétarienne qui proliférait à la fin du XIX siècle- fonctionne comme un laboratoire où les différents éléments raciaux de la société convergent, s’entretissent et se détruisent. Le présent essai examine le contexte historique dans lequel ce roman a été rédigé et centre son regard critique sur les deux principales liaisons amoureuses. Dans les deux cas, un homme européen s’unit avec une femme de race inférieur et il paye un prix moral élevé ; dans les deux cas, l’homme perd la pureté que l’auteur attend de la nation nouvelle. En fin de comptes, et contrairement à ce qu’Azevedo espérait, le Brésil métis triomphe sur la colonie européenne et se transforme en cortiço.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.026
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.002

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 head0.023
GPT teacher head0.223
Teacher spread0.199 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueTRANS-Same topicLiterature, Culture, and CriticismFrench-language works237,207