The Importance of Being Ethnic and the Value of Faking It
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Towards the end of Rohinton Mistry's story Swimming Lessons, the protagonist's parents reflect on the merits of a book written by their son and decide that he will be a successful writer only if he continues write about his recent experience as an Indian immigrant in Canada, because, they argue, Canadians interested in reading about life through the eyes of an immigrant. They worry, though, that he will become so much like them that he will write like them and lose the important difference. Mistry's story is funny, but his suggestion that ethnic minority writers are encouraged and expected reproduce recognizable images of ethnic difference is serious and is echoed by a number of contemporary Canadian writers, including, for example, Tom King, Dionne Brand, Eden Robinson, and Fred Wah. Coercive mimesis is the name that Rey Chow gives the dynamic described by these writers, all of whom suggest that they have been asked, in one way or another, to resemble and replicate the very banal preconceptions that have been appended them. Focusing on the work of poet and essayist Fred Wah, this paper considers how the idea of fakery or faking it can be used undermine the dynamics of coercive mimesis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it