How Pop Culture Ghosted Asian Women
Bibliographic record
Abstract
Ms. Lee is a novelist, poet, and food writer. She co-hosts the literary podcast, Can’t Lit, and previously, was a columnist for CBC Radio One’s On the Coast, All Points West, and The Next Chapter, and a frequent co-host of the Studio One Book Club. Ms. Lee’s most notable books include the Chinatown Trilogy: The End of East (2007), shortlisted for the City of Vancouver Book Award; The Better Mother (2011); and The Conjoined (2016), nominated for the International Dublin Literary Award and a finalist for the Ethel Wilson Fiction Prize. She has also written books for children: Chinese New Year: A Celebration for Everyone (2017), The Animals of Chinese New Year (2018) and Finding Home: The Journey of Immigrants and Refugees (2021). The Shadow List (2021) is Ms. Lee’s first poetry collection and Superfan (2022) her forthcoming memoir.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.015 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".