Bibliographic record
Abstract
Abstract Asian American immigrant communities have been shaped by encounters with state surveillance, policing, detention, and deportation, and contemporary Asian American literature reflects this history. Many foundational Asian American literary texts narrate experiences of policing and incarceration related to immigration, and contemporary Asian American literary works frequently comment and build on these stories. Such works also recall the creative tactics that immigrants have employed to protect each other and elude the state, including adopting or inventing different names, identities, and familial affiliations. Another body of Asian American literature addresses experiences of encampment linked to war, occupation, and militarism that have both preceded and followed Asian American immigration to the United States. In particular, the internment of Japanese Americans in the western United States and Canada during World War II gave rise to numerous creative works, including fiction, poetry, memoir, art, and film by internees and the generations that followed. Asian American literary texts about post–World War II US wars in Asia, including the Korean and Vietnam Wars and the Global War on Terror, depict transnational wartime carceral spaces such as prisoner-of-war camps and refugee camps as sites that have generated Asian diasporic migrations. Post-9/11 Asian American works have responded to the militarized policing and incarceration of Muslims, Arabs, and South Asians, both domestically and globally. Finally, contemporary narratives of Asian American incarceration in the United States frequently address the connections between the policing of immigrants and the larger prison industrial complex, asking readers to situate Asian Americans comparatively in relation to other vulnerable groups, particularly other communities of color who have been targeted for abuse and incarceration by police and the state historically and in the 21st century.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".