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Record W7033775562

Review of Jason Pobjoy, The Child in International Refugee Law

2018· article· en· W7033775562 on OpenAlexaboutno aff

Bibliographic record

VenueUCL Discovery (University College London) · 2018
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationConventionRefugee lawChild protectionConvention on the Rights of the Child
DOInot available

Abstract

fetched live from OpenAlex

Today more than half the world’s refugees are children and their numbers appear to rise continually. Child refugees tend to be at the greatest risk not only of lethal danger but also of being neglected by immigration systems. Jason Pobjoy studied the cases of 82 unaccompanied children who were applying to be refugees in Uganda to escape from extreme violence in their homelands. Although not the subject of this book, these children and the atrocities they experienced have inspired it. Dr Pobjoy is a practising barrister in London and he also works at the Refugee Studies Centre at the University of Oxford. Questioning why children are so invisible within immigration systems, he was led to examine how the problem arises from gaps and contradictions in international law. Specifically, the Convention Relating to the Status of Refugees (UNCR, 1951) and the Convention on the Rights of the Child (UNCRC, 1989) are both necessary to support child refugees adequately. Yet they are rarely combined in administrative and legal cases. Pobjoy’s aim is to demonstrate in practical detail how it is essential and possible to assist child refugees through legal analyses of their cases that combine the two Conventions. He has conducted ‘a comprehensive comparative review of the procedural and substantive obstacles that a child –whether unaccompanied, separated or accompanied – may encounter’ as well as ways to resolve these challenges (p. 3). The research is based on over 2,500 cases, mainly in the major common law countries, UK, USA, Canada, Australia and New Zealand. Although most refugees, nearly 90 per cent, are in the Global South, they tend to be allowed into those countries, where their living conditions are the major concern. Pobjoy concentrates on law about access, and how permission or refusal are determined at the point of entry.

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)0.003
metaresearch head score (Gemma)0.013
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.014
Science and technology studies0.0020.004
Scholarly communication0.0040.006
Open science0.0020.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0060.003

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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