Letter from Eileen Chang to C.T. Hsia, 1966
Bibliographic record
Abstract
A letter from Eileen Chang to C.T. Hsia, 1966. In this letter dated December 30, Eileen Chang mentions that she is editing "Shi Ba Chun", and also discusses about movie script's commissions with Hsia. The USPS 11 cents airletter stamped Dec 31 1966 Oxford, Ohio is addressed to "Mr. C.T. Hsia, 205 Chin Hua Street, Taipei, TAIWAN, Republic of China" from "Reyher, c/o University Center, Miami University, Oxford, Ohio 45056."; 張愛玲寄給夏志清的信, 1966. 這封信註明12月30日寫的. 張愛玲在信中提到正在修改"十八春", 並提到劇本抽成之事. 信封上有十一分錢的郵票印章, 郵政戳印日期為1966年12月31日奧荷華州, 信封上有收件人地址"Mr. C.T. Hsia, 205 Chin Hua Street, Taipei, TAIWAN, Republic of China"及寄件人地址"Reyher, c/o University Center, Miami University, Oxford, Ohio 45056."
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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.243 | 0.406 |
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".