Class, Gender, Race and the Construction of Masculinity in Shyam Selvadurai's "Funny Boy"
Bibliographic record
Abstract
espanolEl proposito de este articulo es analizar los modos en que los aspectos de clase, genero y raza entran en relacion con la construccion de la masculinidad en Funny Boy, la primera novela del autor canadiense, nacido en Sri-Lanka, Shyam Selvadurai (1965-). Un entendimiento particular de la idea de construccion sirve como herramienta para interpretar lo que significa y lo que conlleva ser un hombre en la novela de Selvadurai. La tension creada entre las expectativas heterosexistas de padres y educadores y la realidad subversiva de los impulsos homoeroticos del heroe se manifiesta en las representaciones narrativas de clase social, sistema de genero y, posiblemente, prejuicio racial. Nuestra intencion sera explorar la cuidada representacion que traza el autor sobre la resistencia de un nino a aceptar la identidad que el poder normativo crea para el. EnglishThe purpose of this article is to analyse the ways in which the issues of class, gender and race intersect with the construction of masculinity in Funny Boy, the first novel by the SriLankan born, Canadian author Shyam Selvadurai (1965-). A particular understanding of the idea of construction serves as a tool for the interpretation of what it means and what it takes to be a man in Selvadurai’s novel. The tension created between the normative heterosexist expectations of parents and educators and the subversive reality of the hero’s homoerotic impulses manifests in the narrative representations of social class, gender system and, possibly, racial prejudice. Our intention shall be to explore the author’s wellcrafted portrayal of a boy’s resistance to comply with the identity that normative power creates for him.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".