[李樂天和孟義的照片 = Portrait of Lock Tin Lee and Meng Yi]
Bibliographic record
Abstract
Photograph of Lock Tin Lee and Meng Yi. Lock Tin Lee is on the right. The handwriting on the portrait says: "In October 1952, I represented Canada when attending the seventh meeting in Taipei on global public debt. I travelled via the Northwest Airlines's jumbo jet plane from Canada to Hong Kong. The return trip to Canada included a two-week stopover in Hong Kong via the Canadian Pacific Airlines. I reunited with Kun Zhong whom I have not seen in seventeen years and took a portrait with my friend Meng Yi. Written in the Chinese Nationalist League of Canada (Headquarters) standing committee office on January 29, 1953. 李樂天與孟義的合照。照片右方為李樂天。據照片上題詞: 「中華民國四十一年十月代表全加乘西北航空公司巨型客機返國出席臺北召開之七全大會及全球性之債務會議會後經香港轉乘加拿大太平洋航空公司機回加在港逗留兩周得與一別十七年之親友昆仲相敍行茲數日特與孟義兄同拍此照以留紀念。樂天誌於駐加總支部常委會辦公室。一九五三年一月廿九日。」
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.008 |
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".