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Record W4388946541 · doi:10.3389/fhumd.2023.1264942

Reviewing the reviews: the Global Compacts' added value in access to asylum procedures and immigration detention

2023· article· en· W4388946541 on OpenAlexafffundabout
Idil Atak, Maja Grundler, Pauline Endres de Oliveira, Jürgen Bast, Elspeth Guild, Nicholas Maple, Kudakwashe Vanyoro, Janna Wessels, Jona Zyfi

Bibliographic record

VenueFrontiers in Human Dynamics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of TorontoToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of CanadaEuropean Commission
KeywordsRefugeeImmigrationCompliance (psychology)European unionPolitical scienceValue (mathematics)Human rightsState (computer science)Law and economicsLawBusinessInternational tradeSociologyComputer sciencePsychology

Abstract

fetched live from OpenAlex

The Global Compact for Migration and the Global Compact on Refugees are based on binding international law instruments whose provisions they complement with “best practice” standards related to the treatment of refugees and other migrants. Although the Compacts are non-binding, they provide for review mechanisms to promote compliance with Compact standards. Such oversight is important to achieve progress in implementing the Compacts' commitments. Yet, the current top-down and State-led review process does not offer an efficient platform for identifying cases of non-adherence to Compact standards. This article uses a case study approach to highlight instances of non-compliance with Compact standards in Canada, South Africa, and the European Union. We use a functionalist method of comparison to analyze State practice in these three regions in relation to (i) use of immigration detention and (ii) access to the asylum procedure, with access to healthcare as a cross-cutting issue. The article discusses how the Compacts' review mechanisms could be improved and their added value in terms of their impact on domestic migration policies. It argues that both Compact review and implementation can be improved through increased civil society participation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.350
Teacher spread0.319 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2023
Admission routes3
Has abstractyes

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