Chinese American Writers of the Real and the Fake: Authenticity and the TwinTraditions of Life Writing
Bibliographic record
Abstract
Abstract: The Chinese Exclusion Acts of the late nineteenth century placed severe limitations on the development of Chinese ethnic communities in the United States. The polarization of categories of Chinese Americans gave rise to two distinct traditions of Chinese writing in and about America: a ‘‘high,’’ cultural tradition and a ‘‘low,’’ working-class tradition. The infamous conflict between Frank Chin and Maxine Hong Kingston, whom he accused of being ‘‘un-Chinese’’ and a ‘‘fake,’’ can be explained in terms of Chin’s privileging of the ‘‘low’’ tradition of Chinese American writing as the ‘‘authentic’’ tradition. Chin accuses Kingston of practising an inauthentic Orientalism inherited from the apologetic autobiographies written in the Chinese American ‘‘high’’ tradition. Here, the Orientalism of foundational autobiographies such as Pardee Lowe’s Father and Glorious Descendant (1943) and Jade Snow Wong’s Fifth Chinese Daughter (1950) is engaged through the concept of ‘‘competence’’ developed in genre theory. Within this context, the use of generic Chinese American autobiographical conventions by Chin and Kingston can be related to the representation of authenticity through particular ethnic discourses.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".