"Sufficient to Have Stood but Free to Fall": The Impact of Deceptive Truths on Charmaine's Identity Quest in Margaret Atwood's The Heart Goes Last
Bibliographic record
Abstract
This dissertation paper aims to examine the evolution and the quest of identity of Charmaine, the main character of Margaret Atwood's dystopian novel The Heart Goes Last (2015). Published two years ago, no critics have yet analyzed the novel thoroughly.This is the shortcoming that this dissertation will set out to address by taking a closer look at the Canadian author frequent themes; namely freedom, safety and identity. This analysis thus aims to examine Charmaine’s evolution and quest for identity through close reading of the impact of deceptive truths surrounding the heroine which are believed to exert a decisive influence on Charmaine’s vision of both herself and her environment. In order to see whether Charmaine evolves throughout the novel, this dissertation will first start by analyzing whether the heroine can resist and yield to illusions of security and freedom. The second chapter will be devoted to the analysis of Charmaine’s awakening towards her deceptive environment. Then, the last chapter will take a closer look at Charmaine’s reconstruction after her awakening to finally determine whether Charmaine manages to acquire her own personality.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| 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".