All the Promise in the World: Mobilizing Comparison in <i>The Book of Salt</i>
Bibliographic record
Abstract
The central premise of this article is that reading The Book of Salt as a work of world literature shifts the temporal and spatial sites, as well as the reading practices, involved in thinking about Vietnamese American literature and subjectivity away from the effects of the so-called Vietnam War and toward a long historical view that compares how Vietnamese actors have accrued, and continue to accrue, worth within differing regimes of global value. With The Book of Salt inching toward canonical status in the Asian American Studies curriculum, it is clear that Monique Truong's work has emerged as a central text of Vietnamese American literature. However, analyzing the novel solely as a work of Asian American literature may, in fact, limit the promise the book holds due to the conventional marketing and reading practices that frequently reduce a heterogeneous collection of Vietnamese American works to a hermeneutic centred around the “Vietnam War.” In contrast, I propose that reading The Book of Salt as a work of world literature reveals how Truong creates a ground of comparison that reimagines accepted routes of cross-cultural representation, reception, and value. This world literature perspective nudges Vietnamese American writing away from its own shores by delving deep into the history of Vietnamese mobility and reconsiders the multiple promises held within the Vietnamese diasporic past in a way that brings into question a singular construction of the Vietnamese present.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".