An Ethnography of Migrant ‘Illegality’ in Sweden: Included Yet Excepted?
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 examines how migrant ‘illegality’ is experienced in the Swedish context. How do ‘illegal‘ migrants manage work, housing, healthcare, safety and a family life in the absence of access to formal provisions? What are their survival strategies? I use direct quotations from undocumented migrants themselves to build a multifaceted picture of migrant ‘illegality’. Following Willen's (2007) call for a ‘critical phenomenology of illegality’, I move beyond the socio-political situation of undocumented migrants to their embodied experiences of being ‘illegal’. I conclude that undocumented migrants are not excluded but are excepted; they have not been thrown out, but neither are they considered participants. Undocumented migrants are included in society without being recognised as members.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it