Free to Learn? Education in Australia’s Offshore Immigration Detention Centres
Bibliographic record
Abstract
Children seeking asylum are among the most vulnerable groups in the world. Arriving in a country of refuge should be synonymous with safety; this is not so in Australia. Unaccompanied children arriving by boat are automatically transferred to and detained in the Regional Processing Centre on the Republic of Nauru with no one to advocate on their behalf of their rights and best interests, including their right to an adequate education. Trapped on the small island and uncertain of their futures, children overwhelmingly expressed despair and helplessness, many turning to self-harm. In 2015, the Australian government awarded the contract for education to Broadspectrum, formerly known as Transfield Services Ltd. – a company implicated in the abuse and neglect of children. Since then, truancy rates have increased due to fears for safety, poor structural conditions in schools, and lack of qualified teachers. Failing to provide access to education thwarts the life chances of youth who are already severely disadvantaged and contravenes Australia’s international human rights obligations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".