Connecting the past to the future: A vision for reconciliation and remembrance in Anlong Veng, Cambodia
Bibliographic record
Abstract
During the Democratic Kampuchea regime in Cambodia, which ruled from 17 April 1975 to 7 January 1979, more than 2 million people, a quarter of the country's population estimated at the time, perished as a result of overwork, starvation, disease or execution. The Choeung Ek 'Killing Fields' and the Tuol Sleng Genocide Museum in Phnom Penh, are the two most frequently visited memorials dedicated to this period. Since 2010, there has been a significant increase in the number of local visitors to both memorials, with the Khmer Rouge Tribunal sponsoring 'study tours' in Phnom Penh. However, with the Khmer Rouge Tribunal now drawing to a close, the ongoing need for healing Cambodia's old wounds and exacting social justice has shifted from these large outreach programs designed to educate interested locals about the past, to smaller scaled activities where reconciliation is 'worked through' in the context of workshops and guided walks through history.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.005 |
| 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".