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Record W4416992191 · doi:10.18192/rceh.v47i3.4465

Gender, Religion, and Indefinability in La burladora de Toledo

2025· article· en· W4416992191 on OpenAlexvenueno aff
Naomi Lindstrom

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeValue (mathematics)Identity (music)RecreationSubjectivity

Abstract

fetched live from OpenAlex

The 2008 novel La burladora de Toledo by Angelina Muñiz-Huberman is the fictional recreation of the wandering life of an individual who lived in sixteenth-century Spain as, at various times, a man and as a woman. The novel at first appears to have two themes: the main character’s unrecognizable gender and their highly syncretistic and extraofficial religious life. My thesis is that in La burladora gender and religion, which initially manifest as two concerns, are facets of a broader concept that the narrative promotes. Burladora assigns a positive value to identities that are fluid, mutable, and indefinable.

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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.012
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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
Published2025
Admission routes1
Has abstractyes

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