MétaCan
Menu
Back to cohort
Record W2234775830 · doi:10.18192/rceh.v39i2.1626

The Gypsy’s Curse: Race and Impurity of Blood in Pardo Bazán

2015· article· es· W2234775830 on OpenAlexaffvenue
Jennifer Smith

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En el presente ensayo se estudia el estereotipo de la gitana en tres obras de Emilia Pardo Bazán y lo que revela sobre la cuestión de raza en la España de fin de siglo. En Insolación (1889) el proceso de estereotipar a la gitana y al andaluz sirve, paradójicamente, tanto para celebrar la otredad exótica de los españoles como para contener la amenaza del Otro racial dentro de la sociedad española. En dos cuentos más tardíos se complica el asunto racial haciéndose más borrosa la división entre gitanos y payos, orientalizando a todos los españoles, y revelando un contexto en el cual la violencia del patriarcado y del racismo compite con el salvajismo del Otro. En “Maldición gitana” (1897) la diferencia racial es el motivo implícito de un fratricidio supuestamente causado por la maldición de una gitana. En “La novela de Raimundo” (1898) un narrador masculino, indigno de confianza, revela, sin darse cuenta, su papel en el asesinato de una gitana por su propia tribu. Mientras que estos dos cuentos presentan estereotipos negativos de la gitana, al mismo tiempo, los narradores cuentan otra historia, a pesar de sus intenciones. En ambos casos se trata de relatos de violencia física, verbal y psicológica contra el Otro racial y sexual.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.005
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.234
Teacher spread0.219 · 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 designTheoretical or conceptual
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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueRevista Canadiense de Estudios HispánicosSame topicSpanish Literature and Culture StudiesFrench-language works237,207