Lee, Ronald: my Force 136 experiences (March 18, 2016)
Bibliographic record
Abstract
ABSTRACT: Military Oral History Project Interview Summary Narrator: Lee, Ronald. 1919- Title: "We were dead once we flew into Burma.": Chinese Canadians in Force 136 Interviewer: Interviewed by Trevor Gallagher. Extent 1 sound recording (MP3) Length 42:49, file size 58.8MB Interview Date and Location 18 March 2016, Vancouver BC. Synopsis: Ronald Lee describes life as a Chinese Canadian in Vancouver in the 1920s and '30s. He experienced severe racism, and rarely left Chinatown before going to Prince Rupert to work. He enlisted in the Army in 1943. He had previously tried to enlist in 1939, but had been rejected because of his ethnicity. Upon completing his basic training, he was recruited into Force 136 and sent to India and Ceylon for training. He trained as a signaller, but the war ended before he went on his first mission. He then describes his life on returning to Canada after the war, especially the marked decrease in racism and discrimination he experienced. He feels certain that his military service contributed to the granting of full citizenship to Chinese Canadians. 00:00-05:07- Growing up in Vancouver and his enlistment in the Army. 05:07-09:00- Enlistment and recruitment into Force 136. 09:00-17:00- Transfer to India and Ceylon via England, and Force 136 training. 17:00-24:40- Post-training waiting and his understanding of Force 136's role. 24:40 - 33:17- Life after the war, the campaign for the franchise and the changed treatment of Chinese Canadians. 33:17-42:50- Various other reminiscences of tropical diseases, travel in the 1940s. Suggested Clip(s) for Archive: 17:45- 18:25: realization of poor odds of survival. "We were told, we went into Burma, our chances of coming out was negative." Subject Key Words Civil Rights, Chinese Canadians, Force 136, Racism, Second World War, Southeast Asia Command, Special Operations Executive, Vancouver Chinatown, Voting Rights
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.069 | 0.011 |
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".