Identity Loss and Reconstruction in The Apprenticeship of Duddy Kravitz and Day
Bibliographic record
Abstract
Mordecai Richler, a contemporary Canadian Jewish writer, reveals the identity confusion faced by Jewish immigrants in their integration into Canadian society through the description of the life experience of the protagonist Duddy Kravitz in his novel The Apprenticeship of Duddy Kravitz (1959). Meanwhile, in the novel Day (1961), Elie Wiesel, a contemporary American Jewish writer born in Romania, examines how Holocaust survivors lose their identities and attempt to seek identity reconstruction within the context of traumatic memories and guilt through the perspective of the protagonist, Eliezer. This article aims to interpret the manifestations and reasons for identity loss and the possibility of identity reconstruction of the protagonists Duddy Kravitz and Eliezer based on identity theory. Through interpretation, it can be concluded that Duddy is marginalized by mainstream society and blamed for anti-Semitism within the Jewish community, resulting in a significant identity crisis. However, his success in purchasing land offers the possibility for him to escape marginalization and achieve identity reconstruction in mainstream society. Similarly, Eliezer, as a Holocaust survivor, experiences identity loss under the influence of traumatic memories and feelings of guilt, leading to questioning the existence of God and a death wish. Nevertheless, in the later part of the novel, he transitions from an unnamed narrator to “Eliezer”, and the ashes left after his portrait is burned symbolize his completeness, allowing him to regain self-identity.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".