Detetives transculturais: rompendo fronteiras na ficção criminal
Bibliographic record
Abstract
Abstract: This article analyzes Lucha Corpi’s Eulogy for a Brown Angel (1992) and T. E. Wilson’s Mezcalero (2015). We seek to understand how their detectives, Gloria Damasco and Ernesto Sánchez, respectively, raise questions of identity, especially in relation to gender and ethnicity, and also bring multiculturalism and subalternity into their contexts. Corpi was born in Mexico and lives in the United States, while Wilson was born in Canada and lives in Mexico, and both write their detective fiction in English. The writing of these authors is a space of cultural resistance, expression of differences and alternative identity representations of members of groups marginalized by dominant society. While Damasco, a Chicana woman, begins her journey in criminal investigation as an amateur, reconciling her roles as wife and mother, Sánchez, a Trans man, begins his career as a police officer in Canada and later becomes a private investigator in Mexico. With the help of Schindler (2023) and Portilho (2009, 2016), among others, we analyze how the intersections between these two characters are approached, especially with regard to gender issues, highlighting how they subvert detective literature, which in its most widespread facet is still predominantly a straight cis white male narrative. Keywords: Detective fiction. Crime narrative. Identity. Transculturality.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.047 | 0.014 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".