Creating Canadians through Private Sponsorship
Bibliographic record
Abstract
Abstract We investigate how refugee sponsors and sponsorship groups approach their responsibility to “create new Canadians.” We set the stage by reflecting on the history of Canada as an immigrant-receiving, multicultural country, as well as on the role of acculturation attitudes of host community members in establishing the integration environment for newcomers in general. We use findings from nearly 60 interviews with sponsors in the Ottawa area to outline the different approaches that sponsors take. Approaches to sponsorship fall into three general orientations: paternalistic, passive paternalistic and mutualistic. These approaches manifest in the actions that sponsors take during the sponsorship process. In our discussion, we consider the implications of these approaches for the sponsor–refugee relationship, as well as the broader project of Canadian multiculturalism. We argue that mutualistic approaches best demonstrate welcoming acculturation orientations to newcomers, and that they are an important component of supporting privately sponsored refugees to become Canadians.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".