Community Sponsorship in Europe: Taking Stock, Policy Transfer and What the Future Might Hold
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores the recent emergence of community sponsorship of refugees in Europe, an approach which shares responsibility between civil society and the state for the admission and/or integration of refugees. Originally a Canadian model developed to support the resettlement of Indochinese refugees, the model has gained momentum in Europe, with a number of states piloting or establishing community sponsorship schemes. This proliferation, while generally seen as positive for international protection of refugees, has led to conceptual confusion and a significant range of approaches under the “umbrella” concept of community sponsorship. As a result, community sponsorship today may be understood both as a form of resettlement and a complementary pathway to protection. While interest and momentum around community sponsorship is high, little work currently exists mapping and analysing how jurisdictions adopt the community sponsorship model. With reference to existing work on policy transfer, this contribution takes stock of community sponsorship models in Europe; analyses how community sponsorship may become a viable policy option in European states as a form of transnational policy transfer; and sets out a number of challenges for the future development of community sponsorship in Europe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it