Child Brides, Queues, Oriental Wisdom, and Cross-Cultural Eccentricity
Bibliographic record
Abstract
This is a contribution to a review forum dedicated to Mark Gamsa's book Harbin: A Cross-Cultural Biography (University of Toronto Press, 2021). Along with other forum participants, Kristin Stapleton comments on various aspects of this double biography of the city and one of its inhabitants: Roger von Budberg, a Russian medical doctor of Baltic German descent, who embraced much of Chinese culture or at least the Chinese way of life. Резюме: Это эссе является частью рецензионного форума, посвященного книге Марка Гамзы "Харбин: кросс-культурная биография" (University of Toronto Press, 2021). Наряду с другими участниками форума, Лори Манчестер комментирует различные аспекты этой книги, представляющей собою двойную биографию: города и его обитателя, Роджера фон Будберга (Roger von Budberg) – российского врача, балтийского немца, который перенял китайскую культуру или, по крайней мере, образ жизни.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".