Refugees: time for moral leadership from the Western democracies
Bibliographic record
Abstract
Australia sets a disgraceful example in its treatment of refugees Any observer of today’s spiraling refugee crises in Africa, the Middle East, and Asia must agree with Hegel that “The only thing we learn from history is that we learn nothing from history.” At the Evian conference of 1938, the US encouraged representatives of 32 nations to find a solution to the Jewish refugee crisis in Europe but refused to relax its own, severely limited refugee quotas, as did Britain.1 2 The other participating nations followed suit, except the Dominican Republic, which agreed to take 100 000. In the summer of 1939, in the first act of a “stop the boats” doctrine that still plays out today, the St Louis , a German luxury liner carrying over 900 German Jewish refugees, was refused entry by Cuba, the US, and Canada and returned to Europe, where a large number of the would-be refugees were subsequently murdered in the Holocaust.3 This hypocrisy sent a clear message to Hitler that no one else cared about the Jews, or at least not enough to do anything, and he correctly concluded he was able to act with impunity. Today’s failure of moral leadership by …
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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 | 0.004 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".