Controlling the Opposition Abroad: Cambodia’s Extraterritorial Activities in Long Beach, California
Bibliographic record
Abstract
This article presents findings from research conducted in Long Beach, California on the history, motives, and functions of the Cambodian People’s Party Youth Organization (CPPYO), a network of Cambodians outside the country who support Cambodia’s long-time ruling party, the Cambodian People’s Party (CPP). Officially, the CPPYO, headed by Cambodian Prime Minister Hun Sen’s son, Hun Manet, was created to promote the current government and to provide political options for Cambodians living abroad. However, many Cambodians in the Long Beach area see the CPP’s presence in the US as invasive and as a threat to their autonomy. To understand how the CPPYO functions in Long Beach, we make use of Gerschewski’s three pillars of authoritarian stability1 and Glasius’ framework for identifying extraterritorial authoritarian practices.2 We conclude that the CPPYO is primarily a strategy for repressing opposition abroad, but that it also contributes to the ruling party’s legitimacy through the participation of Long Beach Cambodian Americans, who accept the CPP’s authoritarian control as a condition for participating in Cambodia’s socioeconomic system. This study contributes to a growing body of research interested in identifying and interconnecting the various legitimation processes, strategies, and practices developed by autocracies to stabilize rule at home and abroad.3
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".