Letter from Eileen Chang to C.T. Hsia, 1976
Bibliographic record
Abstract
A letter from Eileen Chang to C.T. Hsia, 1976. In this short letter dated March 18, 1976, Eileen Chang corrected her mistake from her last letter that she mistakenly wrote "Lian He Bao" for "Shi Jie Ri Bao". The envelope has USPS 13 cents-stamp with dated stamp of 18 Mar 1976 Los Angeles is addressed to "Professor C.T. Hsia, 415 West 115th St., Apt. 22, New York, N.Y. 10025" from address "Chang, 1825 N. Kingsley Dr., Apt. 305, Hollywood, CA 90027."; 張愛玲寄給夏志清的快信,1976 這封信註明3月18日寫的. 張愛玲在這封便條裡指出上封信誤把世界日報寫作聯合報. 信封上有一個十三分錢的郵票, 郵政戳印日期為1976年3月18日洛杉磯, 並有收件人地址"Professor C.T. Hsia, 415 West 115th St., Apt. 22, New York, N.Y. 10025" 及寄件人地址"Chang, 1825 N. Kingsley Dr., Apt. 305, Hollywood, CA 90027."
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 | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.381 | 0.207 |
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".