DYSTOPIC RECONFIGURATIONS OF CORPORATE AMERICA: MARGARET ATWOOD’S “THE HEART GOES LAST”
Bibliographic record
Abstract
Dystopic Reconfigurations of Corporate America: Margaret Atwood’s “The Heart Goes Last”. One of Margaret Atwood’s dystopic novels, The Heart Goes Last is an intricate examination of human nature, the precariousness of love, free will, the roots of social evil and the potential dangers of excessive institutional power. Grounded in an examination of Atwood’s text, this paper aims to analyze the techniques through which the image of “corporate America” is re-configured in a nightmarish setting where the fight for power, money and control negatively re-positions the ethical limits of humanity. REZUMAT. Reconfigurări distopice ale Americii corporatiste în The Heart Goes Last de Margaret Atwood. Una dintre cele mai recente capodopere distopice ale autoarei Margaret Atwood, The Heart Goes Last, este o analiză plurivalentă a naturii umane, fragilitatea iubirii, voința liberă, rădăcinile răului social și potențialele pericole ale puterii instituționale excesive. Pornind de la textul atwoodian, lucrarea de față își propune să analizeze tehnicile prin care imaginea Americii corporatiste e reconfigurată într-un cadru de coșmar unde lupta pentru putere, bani și control repoziționează limitele etice ale umanității într-o categorie negativă. Cuvinte cheie: distopie, Margaret Atwood, literatură canadiană, putere, control, America corporatistă, libertate, experiment social
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".