Culture, Identity, Commodity: Diasporic Chinese Literatures in English
Bibliographic record
Abstract
Culture, Identity, Commodity is a pioneering work focused on diasporic Chinese literary production in English. It provides broad-ranging, critically-engaged textual analyses that address the dynamic area of diasporic Chinese literary studies from American, Australian, and Canadian perspectives. The innovative research in this collection comes from established and emerging scholars who draw on threads of transnational, postcolonial, globalization, and racialization theories to engage with a broad range of texts including novels, autobiographies, plays and Chinese cooking shows. In so doing, the authors examine issues of cultural and racial identity, the politics of Chinese-ness and the commodification of race/ethnicity, and negotiations of belonging in contemporary Western society. The breadth and depth of the volume's twelve chapters and critical introduction encapsulate vital components of this active research field. The book is a handy reference and critical work for researchers and students and others interested in diasporic Chinese literatures in English, contextualizing national conditions and interrogating the thematics of diasporic and transnational experiences. The volume will be of interest to those researching in diasporic Asian studies, Chinese and English literatures, Australian, Canadian or American literary studies, as well as lay readers interested in intercultural creative and cultural issues.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".