Zygmunt Bauman, Postmodern Ethics, and Utopia as Process in Suzanne Collins’s The Hunger Games : “It’s the First Gift That’s Always the Hardest to Pay Back”
Bibliographic record
Abstract
Beginning with the observation that young adult literature has been the subject of ethical criticism from multiple sides of the ideological spectrum and drawing on Roberta Seelinger Trites’s argument that this body of work is a postmodern phenomenon, this article interrogates whether young adult literature is a morally compromised genre from the start or whether there is not a morally constructive framework through which young adult novels might be viewed productively. Using the first novel of Suzanne Collins’s Hunger Games trilogy as a case study, this paper proposes a heuristic that borrows from the postmodern (or “liquid modern”) ethics of sociologist Zygmunt Bauman. Bauman, who interprets Emmanuel Levinas’s “ethics of ethics” as a descriptive, phenomenological, existential exercise, rejects absolutes in favour of process and an emphasis on the urge to “be-for” the Other. Through the lens of Bauman’s ethics, this paper analyzes Katniss Everdeen’s journey as a processual one, toward the end of an active moral urge.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.027 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".