Pioneering New Regions Through Community Sponsorship of Refugees
Bibliographic record
Abstract
For more than four decades, community sponsorship has seen refugees successfully settled in hundreds of regional communities in Canada beyond the reach of metropolitan settlement service providers. In 2022 the Australian Department of Home Affairs, inspired by the Canadian experience, launched the Community Refugee Integration and Settlement Pilot (CRISP) in partnership with Community Refugee Sponsorship Australia (CRSA), a national charity working to expand and improve refugee resettlement in Australia by harnessing the generosity, goodwill and social capital of everyday Australians. Testing the capacity of the CRISP model to support settlement in regional Australia was one of several objectives of this pilot, which is now set to become permanent in 2026. This chapter has been written independently by the authors and has not been endorsed by the Department of Home Affairs or the Australian Government. Since its launch, the CRISP has seen dozens of refugee households settle in regional Australia, in places not previously designated by the federal government as primary settlement regions. As a result, the CRISP is providing a modest-scale experiment in deconcentration of refugee settlement beyond metropolitan areas using a grassroots community-led approach. In practice, refugee newcomers are experiencing the positive impact of being warmly embraced by engaged community members, while also navigating new challenges and ways to approach integration and belonging, sometimes without day-to-day access to large diaspora networks. Engaged communities are taking local steps to address the global refugee crisis and experiencing the many collateral benefits of this approach.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".