Dynamics of mobility-stasis in refugee journeys: Case of resettlement from Turkey to Canada
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
Abstract The refugee Odyssey is often not a linear, straightforward movement from point A to point B, from sending country to receiving one. Rather, it involves multiple paths, gateways, entry and exit points, and territories en route to the country of resettlement. Crucially, the journey involves not only mobility but also immobility and/or periods of stasis—breaks that are, in many cases, a natural part of the journey. Alongside this diversity of paths and movements, the refugee experience—understood in terms of the practices and acts of refugees en route—is also far from homogeneous. Each journey may well have an episodic character, where the course, direction, and periods of waiting for one asylum traveller can differ significantly from those of previous and/or future travellers—even if the departure point and destination are the same. Within this context, this article examines the breaks or periods of stasis that punctuate the refugee Odyssey, which we call mobistasis. We base our empirical findings on research conducted with people en route to resettlement in Canada via Turkey where they initially seek asylum and await resettlement. Drawing on fieldwork in Turkey and Canada between April 2014 and October 2016 and semi-structured interviews conducted with asylum travellers from non-European countries, the article illustrates how Turkey as the country of asylum is more than a space of mere ‘transit’. It rather constitutes a space of mobistasis—stasis within movement—in the asylum voyage towards countries of resettlement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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