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Record W829681300

Always Strangers: Democracy and the Rights of Guest Workers

2014· article· en· W829681300 on OpenAlexaffabout
Vasanthi Venkatesh

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSolidaritySovereigntyPolitical scienceDemocracyDignityCitizenshipGlobal justiceHuman rightsImmigrationPersonhoodLawContext (archaeology)Law and economicsSociologyEconomic JusticePolitical economyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The past decade has seen an upsurge in temporary foreign worker (“guest worker”) programs, which have been described as being “close to slavery” because they indenture the worker to work for a specific employer to maintain their visa status and limit access to permanent residence in the host country. The programs exemplify the dilemma between sovereignty and universalism. States claim to support universal labour rights but maintain absolute sovereignty over the legal status of foreign workers, providing limited, differentiated rights. The paper offers a normative argument, supported by empirical data from Canada, Hong Kong, United States, and Israel, that citizenship status continues to be paramount for accessing even universal (personhood-based) labour rights for these workers. I also address some of the potential ramifications that have been raised against an expansive definition of rights for non-citizens, beginning with the impact of immigration on democratic solidarity and social cohesion. Secondly, the fact that guest-workers “consent” to the conditions of their stay in the foreign state before they enter has been consistently used to undermine their rights, especially in the public sphere, which I argue is untenable with democratic justice. Lastly, I address the cosmopolitan concerns about the costs of extending all possible rights to residents within the context of global justice and the risks of tightened border control and restrictive immigration policies.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.022
Scholarly communication0.0060.004
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.005
GPT teacher head0.249
Teacher spread0.243 · 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 designQualitative
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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

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