"Research in Cambodia, Half a Century Ago: An Address to the Thailand, Laos, Cambodia Studies Group"
Bibliographic record
Abstract
Address to the Thailand, Laos, Cambodia Studies Association at the Association for Asian Studies Annual Conference in Toronto, March 16, 2012This event has given me the opportunity to return to almost the beginning of my academic career: my doctoral fieldwork in Cambodia fifty years ago. (It was preceded by fieldwork in an Inuit community in the Ungava, Northern Canada; not relevant here.) Rereading my publications from that research has allowed me to relive the excitement of my Cambodian year, living with my wife and child in Phnom Penh apart from a month in Siem Reap, where I could hire a cyclo for ten riels and visit the various ruins of Angkor every afternoon. Research on overseas Chinese was informed by different paradigms in those days. Bill Skinner was a leading thinker in the field, and Maurice Freedman, my mentor and supervisor, was another. Our issues focused on community social structure and nationalism—many of us were supporters of the national liberation movements in Southeast Asian countries. For most of us, Chinese identity was simply a methodological issue...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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 teacher head, 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".