Host or hostile? Attitudes towards asylum seekers in Israel and in Denmark
Bibliographic record
Abstract
In this study, we focus on attitudes towards asylum seekers in two countries: Denmark and Israel. Both serve as interesting cases through which to study public sentiment of host populations for people seeking refuge. We examine the role of three core dimensions that have been relatively overlooked in previous studies: social contact with asylum seekers, the role of support for humanitarian policies and perceptions of legitimacy of the asylum seekers’ claims. We also gauge the way perceptions of threat mediate the effect of these core dimensions on individuals’ willingness to share their national benefits with those looking for refugee status in the two countries. For the analysis, we use multiple group structural equation modelling. On the descriptive level, findings suggest that respondents are considerably more hostile in Israel than in Denmark, although the mechanisms leading to the formation of exclusionary attitudes are partly similar. We conclude with some limitations of the study and closing remarks about similarities and differences across the two countries.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".