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Record W4254790725 · doi:10.1017/cbo9781139207089

Refugee Repatriation

2013· book· en· W4254790725 on OpenAlexaff
Megan Bradley

Bibliographic record

VenueCambridge University Press eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsRepatriationRedressRestitutionRefugeeHuman rightsPolitical scienceAccountabilityLawRefugee lawLaw and economicsState (computer science)Sociology

Abstract

fetched live from OpenAlex

Voluntary repatriation is now the predominant solution to refugee crises, yet the responsibilities states of origin bear towards their repatriating citizens are under-examined. Through a combination of legal and moral analysis, and case studies of the troubled repatriation movements to Guatemala, Bosnia and Mozambique, Megan Bradley develops and refines an original account of the minimum conditions of a 'just return' process. The goal of a just return process must be to recast a new relationship of rights and duties between the state and its returning citizens, and the conditions of just return match the core duties states should provide for all their citizens: equal, effective protection for security and basic human rights, including accountability for violations of these rights. This volume evaluates the ways in which different forms of redress such as restitution and compensation may help enable just returns, and traces the emergence and evolution of international norms on redress for refugees.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.059
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0050.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0590.025

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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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
GenreOther

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

Citations71
Published2013
Admission routes1
Has abstractyes

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