(Mis)trusted Contact: Resettlement Knowledge Assets and the Third Space of Refugee Reception
Bibliographic record
Abstract
Drawing on interviews with 204 participants in two studies of privately sponsored refugee resettlement in Ontario, Canada, we explore the resettlement effects of pre-arrival contact on the interactional dynamics between private sponsors and privately sponsored Syrian refugees. Those who had regular pre-arrival contact via digital applications such as Facebook, Skype, and Whatsapp reported more positive, “successful” resettlement experiences than those who had not. This pre-arrival interactive dynamic has theoretical/conceptual implications beyond an understanding of the benefits of “information exchange.” Pre-arrival sponsor-sponsored interaction is not bound by the contexts of displacement or resettlement, but constitutes a “third space” of reception, co-created through trusted contact. We develop the concept of “resettlement knowledge assets” and report on how these assets emerge through pre-arrival trust building, modify the resettlement expectations of both sponsors and sponsored, and reduce resettlement uncertainty.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".