Writing the Erasure of Emotions in Dystopian Young Adult Fiction: Reading Lois Lowry’s The Giver and Lauren Oliver’s Delirium
Bibliographic record
Abstract
Young Adult (YA) dystopian fiction blends the traditional developmental narrative with a heightened concern with issues regarding the individual against society, often in the context of a post-apocalyptic world. In this article, I examine the way Lois Lowry’s The Giver (1993) and Lauren Oliver’s Delirium (2011) focus on the state’s regulation over or removal of their people’s emotions and decisions in the context of the representation of future societies. If we consider the place of emotions in YA literature in general, with its interest in adolescents’ interaction with their families, each other, their school, or other communities, we can accept the validity of emotions as a prism through which to examine the text’s didactic and social purposes. Specifically, by deploying a discourse that emphasizes the dangerous consequences of unbridled emotions in earlier historical times, dystopian texts ask us to think about the political potential of feelings as catalysts for social change.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".