El Hombre / Mujer, el Ángel / Demonio. Cuerpo, misterio e inquietud en Sirena Selena Vestida de Pena
Bibliographic record
Abstract
Resumen: En la novela de Mayra Santos-Febres, la mirada de los demás personajes configura el cuerpo de Sirena Selena como un cuerpo que reconcilia dicotomías, que las fusiona: hombre / mujer, ángel / demonio. Este cuerpo fusionado se idealiza con el fin de despertar el deseo. El mismo sirve como motivación para generar una inquietud tanto en los demás personajes como en los lectores: ¿qué cuerpo es digno de ser amado, de ser deseado? Exploraremos el armado de su cuerpo a través de una subversión de ciertos estereotipos y para ello nos centraremos en dos nociones: la de disidentification y la de tropicalization. El cuerpo funciona aquí como una suerte de entidad que revitaliza estereotipos de género (hombre/mujer), religiosos (angel/demonio) y al mismo tiempo, los deconstruye. El cuerpo se erige como superficie de inscripción y de crítica frente a la artificialidad de estos discursos para mostrar que justamente son artificiales, que son construcciones. Abstract: In Mayra Santos-Febres’ novel, Sirena Selena, the gaze of the other characters configures the protagonist’s body; a body that reconciles dichotomies and merges them: man/woman, angel/demon. This merged body is idolized and its aim is to provoke desire. This body also becomes a motivation to generate an anxiety in the other characters as well as readers: what body deserves to be loved, to be desired? We will explore the assembly of her body through the subversion of certain stereotypes and in order to do that we will focus on two notions: disidentification and tropicalization. The body works as a sort of entity that revitalizes gender stereotypes (man/woman) and at the same time, it deconstructs them. The body becomes a surface of inscription and a form of criticism for the artificiality of these discourses; and it shows their artificiality, their constructiveness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".