Bibliographic record
Abstract
Published on the 40th anniversary of the end of the war in Vietnam, this book brings to life the experiences and memories of South Vietnamese soldiers—the forgotten combatants of this controversial conflict. South Vietnam lost more than a quarter of a million soldiers in the Vietnam War, yet the histories of these men—and women—are largely absent from the vast historiography of the conflict. By focusing on oral histories related by 40 veterans from the former Republic of Vietnam Armed Forces, this book breaks new ground, shedding light on an essentially unexplored aspect of the war and giving voice to those who have been voiceless. The experiences of these former soldiers are examined through detailed firsthand accounts that feature two generations and all branches of the service, including the Women’s Armed Forces Corps. Readers will gain insight into the soldiers’ early lives, their military service, combat experiences, and friendships forged in wartime. They will also see how life became worse for most in the aftermath of the war as they experienced internment in communist prison camps, discrimination against their families on political grounds, and the dangers inherent in escaping Vietnam, whether by sea or land. Finally, readers will learn how veterans who saw no choice but to leave their homeland succeeded in rebuilding their lives in new countries and cultures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.092 | 0.015 |
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".