Quilted Selves and Shadowed Psyches: A Psychoanalytic Study of Grace Marks
Bibliographic record
Abstract
This paper examines Margaret Atwood’s Alias Grace through Freudian and post-Freudian psychoanalytic frameworks, focusing on the psychological complexity of Grace Marks, a historical figure convicted of murder in 19th-century Canada. The novel’s fragmented narrative, recurring motifs, and symbolic textures create a rich terrain for exploring themes of repression, trauma, and identity. Grace’s disjointed memory and ambiguous role in the murders are interpreted as signs of deep psychological distress, particularly tied to the repression of sexual trauma and loss. Drawing from Freud’s concepts of the unconscious, hysteria, and the death drive, as well as post-Freudian ideas on dissociation and trauma narratives, the paper argues that Grace’s psyche functions as a quilted self—stitched together by fragments of repressed memories, alter egos, and symbolic dream language. The novel also interrogates the patriarchal structures of medicine and psychiatry through Grace’s interactions with Dr. Simon Jordan, whose clinical gaze and erotic transference reflect both the objectification of female hysterics and his own unresolved Oedipal conflicts. Symbols such as quilts, mirrors, fruit, and locked rooms serve as unconscious signifiers, revealing buried desires and traumas. Rather than offering a conclusive psychological diagnosis, Atwood resists closure, constructing Grace as a fluid, unstable subject whose multiplicity challenges dominant narratives of truth, guilt, and sanity. Ultimately, Alias Grace becomes both a critique of 19th-century psychiatric discourse and a postmodern meditation on the unknowability of the human mind.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.047 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| 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".