Bibliographic record
Abstract
The political history of Cambodia between 1945 and 1979, which culminated in the devastating revolutionary excesses of the Pol Pot regime, is one of unrest and misery. This book by David P. Chandler is the first to give a full account of this tumultuous period. Drawing on his experience as a foreign service officer in Phnom Penh, on interviews, and on archival material. Chandler considers why the revolution happened and how it was related to Cambodia’s earlier history and to other events in Southeast Asia. He describes Cambodia’s brief spell of independence from Japan after the end of World War II; the long and complicated rule of Norodom Sihanouk, during which the Vietnam War gradually spilled over Cambodia’s borders; the bloodless coup of 1970 that deposed Sihanouk and put in power the feeble, pro-American government of Lon Nol; and the revolution in 1975 that ushered in the radical changes and horrors of Pol Pot’s Communist regime. Chandler discusses how Pol Pot and his colleagues evacuated Cambodia’s cities and towns, transformed its seven million people into an unpaid labor force, tortured and killed party members when agricultural quotas were unmet, and were finally overthrown in the course of a Vietnamese military invasion in 1979. His book is a penetrating and poignant analysis of this fierce revolutionary period and the events of the previous quarter-century that made it possible.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".