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Record W1997906014 · doi:10.1080/13621025.2014.865894

Making claims for migrant workers: human rights and citizenship

2014· article· en· W1997906014 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

VenueCitizenship Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCitizenshipHuman rightsSovereigntyNormativeSociologyPoliticsState (computer science)International human rights lawLawPolitical scienceSocial rightsMigrant workersLaw and economicsEconomic growthEconomics

Abstract

fetched live from OpenAlex

Migrant workers claims for greater protection in a globalized world are typically expressed either in the idiom of international human rights or citizenship. Instead of contrasting these two normative frames, the paper explores the extent to which human rights and citizenship discourses intersect when it comes to claims by migrant workers. An analysis of the international human and labour rights instruments that are specifically designed for migrant workers reveals how neither discourse questions the assumption of territorial state sovereignty. Drawing upon sociological and political approaches to human rights claims, I evaluate the Arendtian-inspired critique of international human rights, which is that they ignore the very basis ‘right to have rights’. In doing so, I discuss the different dimensions of citizenship and conclude that international rights can be used by migrant workers to assert right claims that reinforce a conception of citizenship that, although different from national citizenship, has the potential to address their distinctive social location.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.999

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 studies0.0030.001
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 head0.115
GPT teacher head0.391
Teacher spread0.276 · 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