Bibliographic record
Abstract
In her novel Berg, Ann Quin creates a hidden subtext through the use of uncanny and abject Egyptian imagery. By using the psychoanalytic theories of Sigmund Freud and Julia Kristeva to unravel the meaning behind imagery such as mummified animals, recurrent cat images, and the double, we can expose the underlying symbolism in the novel. The features of the uncanny that are especially significant to Berg are the return of the repressed and the idea of uncontrolled repetition. The repetition of cat imagery, often in the form of wet fur, signals the return of the repressed housecat Sebastian which is representative of Berg’s underlying Oedipus complex. The cat imagery is connected, through the Egyptian goddess Bastet to Berg’s mother and Judith, his pseudo-stepmother. The idea that Judith’s room is an Egyptian tomb, filled with mummified animals, increases our uncanny reaction to her because of the continued repetition of Egyptian imagery.\nJENNIFER KOMOROWSKI is currently attending Brescia University College and will be graduating this spring with an Honors Specialization in English and a Major in Sociology. Her research interests are in psychoanalytical theory and critical theory. This fall she will be working on her Master's in Theory and Criticism at Western University.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".