蔣總統夫婦在臺北郊外士林官邸歡宴美加兩國僑選國大代表及檀香山上議員李桂賢夫婦時合影於家廳 [Group photograph of Chiang Kai-shek and Soong Mei-ling with overseas National Assembly representatives from Canada and the United States]
Bibliographic record
Abstract
This photograph was taken at the Taipei Shilin Official Residence when President Chiang Kai-shek and his wife Soong Mei-ling met with Lock Tin Lee, Li Guixian and his wife, and other national assembly delegates from the United States and Canada elected by overseas Chinese. Li Guixian was a senator from Hawaii. Lock Tin Lee is second from the right. The back of the photograph includes the photographer's Chinese name and the address of his studio. 此照片為蔣介石和宋美齡夫婦在臺北郊外士林官邸歡宴美加兩國僑選國大代表及檀香山上議員李桂賢夫婦時於客聽的合影。 右二為李樂天。照片的背面有攝影師的中文姓名和攝影社的地址。
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.164 | 0.026 |
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".