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Record W2168556682 · doi:10.1177/1741659010378630

Performing mexicanidad: Criminality and lucha libre

2010· article· en· W2168556682 on OpenAlexaff
Susana Vargas Cervantes

Bibliographic record

VenueCrime Media Culture An International Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsMcGill University
Fundersnot available
KeywordsMasculinitySilenceSpectacleFemininityGender studiesCitizenshipSociologyArtCriminologyHumanitiesPolitical scienceLawAestheticsPolitics

Abstract

fetched live from OpenAlex

Juana Barraza Samperio, a wrestler known as la Dama del Silencio (the Lady of Silence), has been declared the first female serial killer in Mexico. In January 2006, Barraza was arrested as the alleged Mataviejitas (the little old lady killer), a serial killer of elderly women in Mexico City whom police had struggled for two years to apprehend. La Dama del Silencio became la Mataviejitas , and vice versa, more than Juana Barraza became la Mataviejitas. I argue that discourses of criminality and the spectacle of lucha libre intersect within Mexican culture to police and perform the parameters of mexicanidad, reinforcing but also revealing the limits of Mexican masculinity and femininity. This article focuses on this intersection as a potent site for denaturalizing and destabilizing Mexican masculinity and femininity and redressing the raced, classed, gendered and sexualized limits of mexicanidad and criminality that have served to exclude so many from the rights of full citizenship in Mexico.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

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 studies0.0110.010
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.359
Teacher spread0.320 · 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 designQualitative
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

Citations3
Published2010
Admission routes1
Has abstractyes

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