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Record W4404139897 · doi:10.1080/13621025.2024.2425646

Undocumented migrant workers as activist citizens: resisting citizenship exclusion through photovoice

2024· article· en· W4404139897 on OpenAlexafffund
Reena Kukreja

Bibliographic record

VenueCitizenship Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCitizenshipPhotovoiceSociologyGender studiesMigrant workersSocial exclusionPolitical scienceCriminologyLawEconomic growthPolitics

Abstract

fetched live from OpenAlex

This article discusses the foregrounding of migrant activism through a photovoice project that emerged organically from groups of undocumented South Asian migrant men in Greece. It argues that this collective creative action against the criminalization of migrant ‘illegality’ constitutes an active act of citizenship that contests, from below, exclusionary citizenship rights and formal modes of inclusion into the body politic of a nation state. Isin’s concept of ‘activist citizen’ (2008) allows us to interpret migrant participation as a creative political mobilization that challenged their formal citizenship exclusion. The act of becoming intentionally visible through photo-taking and the multimedia installation allowed them to undertake constructive resistance against their forced invisibility and migrant abjectness. By representing themselves as empowered activist-citizens, and by using their photos, videos, and texts as evidentiary material, the undocumented migrant workers sought to destabilize dominant imaginaries and discourses that present them as fearful, deviant masculine others.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.009
Scholarly communication0.0040.002
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.079
GPT teacher head0.392
Teacher spread0.313 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

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