Resistant Rituals: Self-Mutilation and the Female Adolescent Body in Fairy Tales and Young Adult Fiction
Bibliographic record
Abstract
In spite of its history as an unintelligible activity in Western society, self-mutilation entered the discourse of childhood as a significant motif of feminine experience the moment children appropriated the fairy tale. Since then, it has functioned as a complex motif in literature, offering scholars an opportunity to identify the different ways troubling or disturbing subjects are treated based on the target audiences of texts. Taking "Cinderella" and "The Little Mermaid" as representative, this paper argues that self-mutilation functions as an act of self-mutilation functions as an act of self-sacrifice to romantic hetero-normative narratives. Meanwhile, cutting in the Canadian young adult novels As She Grows by Lesley Ann Cowan () and Cheryl Rainfield's Scars () is represented ambivalently, exposing both the potential for violence and for agency in self-mutilative acts. In their refusal of pathologization, representations of self-mutilation in YA fiction offer readers a ritualistic occasion for their own empathic resistance to the hegemonic incorporation of symbolic demands, encouraging the development of creative strategies for self-expression within dysfunctional societies.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".