Les flottements identitaires dans l'oeuvre romanesque de Ying Chen
Bibliographic record
Abstract
Since the publication of her first novel La Mémoire de l'eau, in 1992, Ying Chen is known to be a prolific Sino-Canadian writer in Quebec. Many of her novels were analyzed by commentators who were interested in the literary movement called "littérature migrante", while the second wave of migrant writers came to diversify the literary landscape in Quebec in the turning point of the 1990s. Recent studies concerning Ying Chen's novelistic work deal less with the question of the cultural origins of the author than the broader questions relating to identity especially since the writer proceeded to erase the time-space marks and the cultural data in Immobile, Le Champ dans la mer and Querelle d'un squelette avec son double allowing the works of Chen to go beyond the label of "migrant writer" since she had written on the themes of exile and peregrination in her first novels. This thesis focuses on the first six novels of Ying Chen, published between 1992 and 2003. Our analysis addresses the "literarity" of her fictions, by studying her works in the optics of the fictitious narrative and by overstepping the supposed link between the production of an author and his ethnicity. Therefore, the goal of this thesis is to show how the hybrid identity appears in La Mémoire de l'eau, Les Lettres chinoises, L'Ingratitude, Immobile, Le Champ dans la mer, and Querelle d'un squelette avec son double. In order to illustrate how tormented identities divide Ying Chen's characters, we redefine and analyze the various components of hybridity that cross over our corpus in the light of several entanglements of time, space, and time-space markers that become increasingly unfixed in one novel after another. Finally, this thesis aims to explain how the shady and double identity is a central theme in Ying Chen's novels in regard to the concept of hybridity in the literary field.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".