Vietnamese refugees' resettlement experiences in Peterborough, Ontario : Integration and mobility
Bibliographic record
Abstract
Many immigrants and refugees arriving in Canada resettle in the gateway cities, including Toronto, Vancouver, and Montreal. The Canadian government attempts to redistribute refugees across the country to reduce large metropolitan centers’ pressures to provide resources for newcomers and to revitalize small cities’ economies. However, there is a lack of literature on refugees’ challenges and successes while resettling in small cities. This paper is a historical case study of Vietnamese refugees’ resettlement experiences in Peterborough, Ontario. It explores how the Peterborough community responded to the arrival of Vietnamese refugees and analyzes the factors that influenced the participants’ decisions to stay in Peterborough or relocate to other cities. The participants’ experiences revealed that, the Peterborough community’s initial warm reception was important for building social networks, but the availability of employment and the ability to support their families were more significant factors in influencing their decisions to move. Keywords: Vietnamese refugees, resettlement, integration, reception, Peterborough, redistribution, mobility, community, settlement services
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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 | 0.002 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".