Fear and Loathing Down Under: Australian Refugee Policy and the National Imagination
Bibliographic record
Abstract
This paper looks at Australia’s refugee policy in light of incidents that took place in the summer of 2001, with the refugees aboard the Tampa. Analyzing the discourse that resulted from these incidents, I show how Australia believes it is a nation under threat that prides itself as generously welcoming as many refugees as it can and who, of late, is only trying to protect its borders from so-called refugees who really are “queue jumpers.” I contrast this view with what emerges from the facts: that Australia’s racialized past makes it very easy for it to believe that it is under siege from refugees, and that it has done all that is legally possible to disinvest itself from its international obligations. This has meant turning boats away at sea, excising certain territories from its jurisdiction, and interning the refugees who arrive in Australia. Through this analysis, I argue that the current policy is a re-emergence of the earlier White Australia policy.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".