In Flight; Feminist Escape in James Joyce’s Dubliners and Alice Munro’s Runaway
Bibliographic record
Abstract
The quest to “ascend through the roof and fly away to another country” (Joyce 43), in which a character can escape the entrapments of social constraints and craft a deeper sense of self, becomes a frequent narrative within James Joyce’s Dubliners and Alice Munro’s Runaway. Both short story collections represent female characters’ escapes and failed escapes. I compare the feminist quests portrayed in Joyce’s short story “Eveline” and Alice Munro’s stories “Runaway” and “Passion”, focusing on depictions of ‘escape’ and ‘quest narratives’ the various and dynamic ways in which female characters attempt to depart from crippling social expectations in search for self-knowledge and authentic identity. Escapes within Dubliners and Runaway vary, though both collections contribute to the advancement of the feminist quest narrative with focalization through female characters and representations of the imposing patriarchal restrictions that women inevitably face throughout their quests. While Dubliners offers significant representations of female escape, these narratives consistently end in paralysis, and characters fail to become emancipated from their oppressive environments. This paper will demonstrate how Munro’s collection takes the feminist quest narrative to new heights, as while not all characters have successful escapes, they attain knowledge and acquire agency through their quests. Faculty Mentor: Sarah Copland Department: Gender Studies
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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 | 0.001 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".