Environment Among a Group ofVietnamese in Canada
Bibliographic record
Abstract
This research presents a food ethnography of a small group of Vietnamese immigrants who live in Hamilton and Mississauga. Members of this community have previously been identified as consumers of fish and wildlife foods directly procured from the Great Lakes basin. I explore the symbolic, social, and nutritional place of fish and its relationship to perceptions of contamination, risk, and health in this group. I describe the socio-cultural, historical, and environmental context of this group of people with whom I conducted research in the summer of 1996. Ethnographic data was collected by means of participant observation during a five-week household placement with a Vietnamese family. In addition, I conducted interviews and cooking sessions among sixteen households. My findings reveal dynamic changes in Vietnamese dietary practices, including the diminished role of fish in their diet. I argue that for the Vietnamese people with whom I spoke, concerns about health and the environment are not a priority and therefore, from their perspective, they are not a risk group for Great Lakes contaminants. I show that what is accepted as risk is partly a political process and that the Vietnamese construct, negotiate, and manage risk in their own way. While the ethnography is a focused look at Vietnamese foodways and the role of fish within that context, the discussion of risk goes beyond the particular to larger issues surrounding the politics of fish consumption in this group. Finally, I make recommendations for further research and initiatives based on my findings.
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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 | 0.002 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".