Traumatic Peregrinations: Intergenerational Memory and Migration in Nina Bunjevac’s Fatherland
Bibliographic record
Abstract
This essay analyzes images of both movement and immobility in Nina Bunjevac’s Fatherland, a Canadian graphic memoir in which the author/illustrator traces her father’s involvement in a Serbian nationalist terrorist cell. Although, as scholars such as Mihaela Precup have convincingly argued, Bunjevac depicts her father as trapped by historical circumstances he cannot control—and her larger family as “frozen in disbelief, anger, and sadness” (220)—I maintain that such immobility is paradoxically the consequence of constant movement. In the course of her narrative, Bunjevac, while she does not excuse her father’s actions or even depict him sympathetically, nevertheless shows how three generations of wartime displacement and transnational migration traumatized her father and in turn her immediate family. Thus, I maintain that her graphic narrative demonstrates how Astrid Erll’s concept of “travelling memory” might be enlarged to address how traumatic memories follow, and become uncannily reenacted by, migrants and displaced people. Bunjevac’s text is a particularly effective demonstration of this dimension of travelling memory because its very form as a graphic memoir necessarily depends on such elements of fracture, repetition, and difference.
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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 | 0.015 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".