Why do citizens want to keep refugees out? Threats, fairness and hostile norms in the treatment of asylum seekers
Bibliographic record
Abstract
Abstract A social identity framework was employed to understand why people support the exclusionary treatment of refugee claimants (‘asylum seekers’) in Australia. Over and above individual difference effects of social dominance orientation and individuals' instrumental threat perceptions, insecure intergroup relations between citizens and asylum seekers were proposed to motivate exclusionary attitudes and behaviour. In addition, perceived procedural and distributive fairness were proposed to mediate the effects of social identity predictors on intergroup competitiveness, serving to legitimise citizens' exclusionary behaviours. Support for these propositions was obtained in a longitudinal study of Australians' social attitudes and behaviour. Small and inconsistent individual‐level effects were noted. In contrast, after controlling for these variables, hostile Australian norms, perceived legitimacy of citizen status, and threatening socio‐structural relations were strongly and consistently linked to intentions to support the harsh treatment of asylum seekers, and exclusionary attitudes and action at Time 2. Moreover, perceived procedural and distributive justice significantly mediated these relationships. The roles of fairness and intergroup socio‐structural perceptions in social attitudes and actions are discussed. Copyright © 2006 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.001 |
| 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 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".