The Reception and Processing of Minors in the United States in Comparison to that of Australia and Canada: Would Being a Party to the UN Convention on the Right of the Child Make a Difference in U.S. Courts?
Bibliographic record
Abstract
I. IntroductionIn 2014, a surge of minors flocking to the United States from various Central American countries, including El Salvador, Guatemala, and Honduras took place.U.S. Border Patrol agents apprehended 47,000 thousand unaccompanied migrant children entering the United States during 2014. 1 At the same time as this Central American surge, Syrian refugees were fleeing their native country and seeking refuge in several countries, including Australia and Canada.In 2015, Australia decided to accept 12 thousand Syrian refugees. 2Likewise, in 2016, Canada pledged $8.5 million to support refugees over the time span of two and a half years. 3 Unlike in Australia and Canada, on January 25, 2017, the President of
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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 | 0.000 |
| 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".