Bibliographic record
Abstract
Countless commemorations, news reports, and scholarship have underscored the Vietnam wars’ significance in the global history of the twentieth century. However, stories, analyses, and memories appearing in the United States, in Vietnam, and in Vietnamese overseas communities all tell a widely different story. As a result, students who are just learning about Vietnam, Asia, the Cold War, or American foreign policy might feel overwhelmed by the monumental nature of the Vietnam wars. This is where The Quiet American, which the Australian filmmaker Phillip Noyce adapted from Graham Greene’s 1955 novel, becomes a useful tool.1 Starred by familiar faces like Michael Caine and Brendan Fraser, the movie offers an accessible storyline that suggests the multiple scales and dimensions of the wars. The Quiet American intertwines a war story with a murder mystery and a love triangle. The movie opens on a criminal case to elucidate the assassination of an Alden Pyle, an American aid worker. A French inspector in charge interrogates an old British correspondent, Thomas Fowler, through whom the movie uses flashbacks to understand what happened. Covering the war from Saigon in the 1950s, Fowler enjoys this time away from England in the company of a young Vietnamese woman named Phượng. He befriends a young American aid worker, Pyle, and introduces him to Phượng. However, the old man sees the two getting closer together. In the following weeks, Fowler covers battles and political meetings. He keeps seeing the young aid worker in the most unexpected situations. Blinded by his jealousy, Fowler does not realize that Pyle is not the “quiet American” he claims to be. It is only once a terrorist attack hits Saigon that he realizes the American is in fact a secret agent who had planned the bombing to blame the Vietminh and inspire a renewed mobilization against communist expansion in Asia. Fowler eventually agrees to arrange a dinner with Pyle, helping the Vietminh organize an ambush and assassinate the American agent.
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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 | 0.026 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.008 | 0.039 |
| Scholarly communication | 0.027 | 0.048 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".