Bibliographic record
Abstract
This thesis examines the use of myth, dreams, and historical trauma within the genre of the Asian North American female bildungsroman. In an attempt to redefine the contested genre of the ethnic bildungsroman, this study analyzes three novels by Asian American and Asian Canadian female authors: Cecilia Manguerra Brainard's When the Rainbow Goddess Wept (1991), Joy Kogawa's Obasan (1981), and Lan Cao's Monkey Bridge (1997). Each of these novels is an ethnic bildungsroman that highlights the identity formation of a female protagonist in the midst of historical trauma. This study focuses on the ways in which these texts resist the conventions of the European bildungsroman through the factors of myth, dreams, and historical trauma. While Philippine folklore is the vehicle through which protagonist Yvonne matures in Brainard's When the Rainbow Goddess Wept, dreams and childhood tales in Kogawa's Obasan enable protagonist Naomi to develop and reconnect with her lost mother. Similarly, in Cao's Monkey Bridge, protagonist Mai uses the Vietnamese legend of the Trung sisters to develop a transnational identity and reconnect with her mother and motherland. In all three of these novels, myths and dreams function as alternative spaces of development that interrupt the immediate trauma of the texts. Myth, dreams, and trauma are thus integral to the project of redefining the Asian North American female bildungsroman.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.029 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".