“I Knew You Were Trouble”: Considering Childism(s), Shame Resilience, and Adult Caretaker Characters Surrounding YA Rape Survivor Protagonists
Bibliographic record
Abstract
Adult characters in young adult (YA) literature remain largely unexamined. In this article, All the Rage (2015), Exit, Pursued by a Bear (2016), Speak (1999), and “Wolf” from The Rose and the Beast (2000) are closely analyzed to evaluate whether these characters engaged in childism(s). Particularly, YA sexual assault narratives warrant critical consideration, as caretaker characters hold potential to significantly impact assaulted adolescents’ abilities to enact shame resilience. The four stories suggest that how parent and school-based professional characters impact survivor protagonists is directly correlated with if, or the degree to which, the grown ups participated in “positive” or “negative” childism.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".