Just Visiting? The Weakening of Social Protection in a Mobile World
Bibliographic record
Abstract
Recent scholarship has become increasingly attentive to the way different welfare states include or exclude newcomers. Much of this literature has focused on the access to benefits granted to immigrants with a permanent status. While this emphasis is understandable, it ignores the growing ranks of individuals who do not settle permanently, either because they are only given temporary status or because they choose to move on. This paper helps to fill this gap by comparing four countries that are very different in the way they treat temporary migrants: Sweden, Canada, the Netherlands, and the United Kingdom. We find that migrants on a temporary permit are among the most weakly protected in each of these countries, but that the exclusion is more severe in countries where politicians face considerable political pressure to appear tough on immigration and where there are few institutional protections to protect temporary residents from such pressures. These findings highlight both the fragility of social protection in a world of mobility and the importance of firmly entrenched protections of equal treatment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| 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 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".