Zenia’s function as the freudian Id in Margaret Atwood’s The Robber Bride
Bibliographic record
Abstract
Published in 1993, Canadian author Margaret Atwood’s The Robber Bride and its divisive main antagonist, Zenia, continue to inspire lively critical discussion. Despite Atwood’s reservations about interpretations rooted in gender binaries, the existing research has primarily focused on Zenia’s status as a woman while overlooking frameworks like Sigmund Freud’s psychoanalysis, especially his theory of the id, the ego, and the super-ego. Because of this, the thesis aims to demonstrate how Zenia aligns with the Freudian id and examine what this reveals about her function in the novel. The introduction provides a background on the previous reception of The Robber Bride, a brief summary of the novel, and an overview of Atwood’s views on feminist readings of her works. The literature review outlines the three main approaches to analysing Zenia in the previous scholarship and discusses the central concepts of Freud’s psychoanalytic model of the mind. The first three subsections of the empirical study examine excerpts from the novel to provide proof of Zenia functioning as the Freudian id, followed by a comparison of the findings of the id approach to those of previous interpretations of Zenia in the fourth subsection. The conclusion summarises the findings of the thesis. Keywords: Margaret Atwood, The Robber Bride, Canadian literature, Sigmund Freud, psychoanalysis
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 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 | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.039 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".