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Zero Sympathy: Unaccompanied Minors' Rights in the US Immigration System

2021· article· en· W3204635577 on OpenAlexaffabout
Ali Ali

Bibliographic record

VenueIndiana Journal of Global Legal Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSympathyImmigrationZero (linguistics)Political scienceLawHuman rightsCriminologySociologyPsychologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

This note analyzes the US Government's approach to unaccompanied minors and the webs they must navigate when they are apprehended by the US immigration system. More importantly, this note calls for reformative approaches to children's rights through acknowledging the differences between adults and children while simultaneously taking their vulnerability and autonomy into account. After explaining the migrant crisis along with its implications and examining the underlying reasons fostering this movement, this note discusses the legal options available for unaccompanied minors. It draws on the shortcomings of the immigration system as the system labels unaccompanied minors as dependent children, but also treats them as adults. Further, this note establishes and calls attention to the long-term impact of this system on detained children. The note concludes by examining international law—more specifically, the Canadian approach—outlining how the US system can adopt certain policies to better its treatment of unaccompanied minors and refrain from further human rights violations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.652

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.019
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.017
GPT teacher head0.312
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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