Bibliographic record
Abstract
Marshalling evidence from critical feminist studies of eating disorders (Bordo; Malson and Burns; Warin), including Leslie Heywood’s concept of anorexic “logic,” this dissertation theorizes how anorexic rationality and subjectivity are expressed through the popular figure of the post-feminist action heroine, specifically within young adult (YA) speculative fiction franchises. Stephenie Meyer’s Twilight novels (2005-2008), Suzanne Collins’ The Hunger Games series (2008-2010), and Veronica Roth’s Divergent trilogy (2011-2013) serve as the primary, and I argue ideal case studies for this investigation. Emerging as top-selling YA series in the post-Harry Potter era, all three franchises feature teen girl protagonists with post-feminist “sensibility” (Gill), and with their mass appeal, have given rise to global fandoms. Hence, this project also examines reader responses to the series under discussion through a selection of online fan fiction in which female-identifying youth rewrite their protagonists as anorexic. Although media studies scholars have analyzed the gendered discourses surrounding contemporary female action heroes (Inness; Brown; Wright), and feminist literary scholars have explored how motifs of weight, starvation and consumption function within certain narratives (Daniel; Ellmann; Karlin; Meuret; Silver), the correlation between anorexia and action heroine texts has yet to be systematically studied. This investigation is all the more crucial given Parliament of Canada’s 2014 report, Eating Disorders Among Girls and Women in Canada, which notes that eating disorders have the highest mortality rates of all mental illnesses. Responding to the report’s call for increased research on media messaging aimed at youth, this dissertation focuses on mass media franchises targeted at girls and young women, the largest demographic of eating disorder sufferers, arguing that contemporary teen action heroine mythology reflects and reifies a problematic value system that mutually constitutes conceptions of starvation and justice, and informs the social construction of ideal femininity. This research thus forges new pathways between theories of girlhood, body image studies, and YA literature to offer a theoretical framework for reading female heroism that places the corporeal matrix of gender, consumption, and embodiment at its centre.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".