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Record W4390979764 · doi:10.1017/s0892679423000400

Introduction: Voluntariness and Migration

2023· article· en· W4390979764 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEthics & International Affairs · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsVoluntarinessPoliticsNormativeRefugeeState (computer science)Political scienceLaw and economicsSociologyCoercion (linguistics)AmbivalenceLawSocial psychologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The concept of voluntariness permeates the ethics and politics of migration and is commonly used to distinguish refugees from migrants. Yet, neither the precise nature and conditions of voluntariness nor its ethical significance for migrant rights and state obligations has received enough attention. The articles in this collection move the debate forward by demonstrating the complex ethical judgments involved in delineating voluntary from forced migration and in drawing out its political and institutional implications. In addition to highlighting the interplay between the voluntary and nonvoluntary elements of migration over time and across different sites of the migration journey, they provide a nuanced account of the various conditions of voluntariness and they challenge common ideas about its normative political consequences.

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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.342
Teacher spread0.312 · 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