The Rules of Defeat: The Impact of Aerial Rules of Engagement on USAF Operations in North Vietnam, 1965-1968
Bibliographic record
Abstract
During the Vietnam War, many American air commanders were convinced that rigid Rules of Engagement (ROEs) prevented an American aerial victory over North Vietnam during the Rolling Thunder air campaign form 1965-1968. ROEs were directives issued by civilian authority to guide the conduct of all US aerial operations in Southeast Asia. To the men "in the field" these rules provided detailed guidance to be followed by all commanders, air planners, control personnel, and combat crew members in the actual planning and flying of combat missions. ROEs allowed President Lyndon Johnson to apply measured amounts of air power both to avoid escalation of the war into World War III and to preserve domestic social problems. The belief among airmen that ROEs undermined Rolling Thunder was later strengthened by the 1972 Linebacker II air campaign and the more recent Desert storm air war. Both air campaigns were seemingly decisive, had few restrictive ROEs, and were conducted in a "straightforward" manner compared to the gradual approach of Rolling Thunder. A detailed examination of the ROEs from 1965-1968 reveals that they made the conduct of the air campaign terribly inefficient and also hampered its effectiveness; however, ROEs were not the sole cause of Rolling Thunder's failure.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".