Bibliographic record
Abstract
William Ping, the narrator of the novel, Hollow Bamboo, is a typical, privileged millennial. \nHis life revolves around eating at restaurants and then posting online about eating at restaurants. \nThis all changes when a dinner with his Chinese girlfriend’s family forces him to confront \nboth his biracial identity and his ignorance of his own Chinese heritage. Midway through dinner, \nWill suffers a potentially fatal injury and is visited by a dream-eating spirit named Mo who \nwhisks him into the past to learn about the life of his grandfather, the first William Ping, who \nimmigrated from China to Newfoundland in the 1930’s. Based on a true story, the novel recounts \nthe often brutal struggles, and occasional successes, faced by some of the first Chinese immigrants \nin Newfoundland. A speculative biography, rehearsing familial anecdotes and personal \nhistories, tempered with the problematic authority of documented facts; this blend of historical \nmaterial and magical imaginings renders the novel a unique look at the integration and disintegration \nof Chinese culture in the life of two William Pings.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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".