[海外國大代表訪臺合照 = Group photograph of overseas Kuomintang members in Taiwan]
Bibliographic record
Abstract
Lock Tin Lee noted on the bottom of the photograph: “Overseas Kuomintang members return to Taiwan to attend the second session of the National Assembly on February of the 43rd year of the Republic of China (1954). The picture is taken in the office of Zhou Zhirou, the chief of staff of the Kuomintang government.” The overseas Kuomintang members include the Chief of the Overseas Kuomintang Members Committee, South African representative Li Boyu, Canadian representative Lock Tin Lee, Cuban representative Zhang Peizi, [Jamaican?] representative Zeng Duojia, the Chief of Staff of the Kuomintang Zhou Zhirou, women's representative Li-Zhang Ruifang (she was an overseas student of Vietnam), eastern United States representative Chen Zhonghai, Cuban representative Xu Rongyuan, Overseas Chinese Committee member Zheng Shanbi, and Mexican representative Tan Xinming. 照片底部寫有:「民國四十三年二月海外國大代表返國出席第二次會議於臺北由僑委會派員引導拜侯各機関首長與參謀總長周至柔將軍攝於總長辦公室。樂天誌。」人名從左到右依次是: 僑委會科長、南非僑選代表李伯宇、加拿大僑選代表李樂天、古巴僑選代表張培梓、占尾架僑選代表曾多家、參謀總長周至柔將軍、全國婦女代表李張瑞芳(由安南回, 她是越南僑生)、美東僑選代表陳中海、古巴僑選代表許榮媛、僑委會職員鄭善蔽、墨西哥僑選代表譚新民。
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.134 | 0.018 |
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".