Letter from Eileen Chang to C.T. Hsia, 1965
Bibliographic record
Abstract
A letter from Eileen Chang to C.T. Hsia, 1965. In this letter dated June 16, Eileen Chang expresses her regret for Hsia's brother's death. She also thanks Hsia for his constant support. In the letter, she mentions that she "never has stable income." The USPS 5 cents envelope with dated stamp of 16 June 1965 Washington DC is addressed to "Mr. C.T. Hsia, 415 West 115th Street, Apt. 22, New York, N.Y. 10025" from "Reyher, 1315 C St. SE, #22, Washington, D.C. 20003."; 張愛玲寄給夏志清的信, 1965. 這封信註明6月16日寫的. 張愛玲對夏志清兄的噩耗感到震驚, 也感謝夏志清長期的幫助. 並提到"固定收入是從來沒有過." 信封上有五分錢的郵票印章, 郵政戳印日期為1965年6月16日華盛頓, 信封上有收件人地址"Mr. C.T. Hsia, 415 West 115th Street, Apt. 22, New York, N.Y. 10025"及寄件人地址"Reyher, 1315 C St. SE, #22, Washington, D.C. 20003."
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.228 | 0.096 |
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".