Children on the Boat: The Recuperative Work of Postmemory in Short Fiction of the Vietnamese Diaspora
Bibliographic record
Abstract
Abstract In this article we argue that a cohort of French, Canadian, and Australian authors of Vietnamese descent are adapting postmemory narratives to fit the purposes of the 1.5 generation. Linda Lê, Kim Thúy, and Nam Le each displace the Vietnam War to reimagine in its stead, for the first time in Vietnamese diasporic writing, the trauma of the refugee boat journey. Breaking the silence of parents wont to forget, in short fiction they narrativize shared accounts of flight by sea that have until this time remained the domain of autobiography and memoir. Through a process of spectral recuperation, these children of survivors employ the figure of the child to tell the event of their own refugee becoming. Former child refugees recently come of writerly age across a multilingual global diaspora are thus reappropriating an in-between generation’s collective postmemory to form what we call the sub-genre of “the boat narrative.”
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".