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Record W2886866540 · doi:10.1177/0002764218793685

Subversive Self-Employment: Intersectionality and Self-Employment Among Dependent Visas Holders in the United States

2018· article· en· W2886866540 on OpenAlex
Pallavi Banerjee

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

VenueAmerican Behavioral Scientist · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntersectionalitySelf-employmentImmigrationDemographic economicsPrecarious workPolitical scienceGender studiesLabour economicsSociologyWork (physics)EconomicsEntrepreneurship

Abstract

fetched live from OpenAlex

Drawing on intersectionality theory, I examine how U.S. visa policies shape the informal self-employment experiences of Indian women and men who migrated to the United States on “dependent visas” to accompany their highly skilled spouses on temporary work visas. Dependent visa policy prohibits employment for the visa holders for a period that can last from 6 to 20 years. Despite this, only a handful of those on dependent visas pursued informal self-employment in my sample, with fewer men than women. This study is based on interviews with 45 participants, with a special focus on 18 dependent spouses (men and women), who had engaged in active self-employment, and tries to understand their experiences with self-employment, particularly their choice of businesses and the role of self-employment in their lives as dependents. I conclude that the complexities of the experiences of self-employment for my research participants are embedded in the intersections of their gender, class, race, and immigration status. Additionally, self-employment itself inadvertently becomes an act of subversion against their state-imposed dependence.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.027
GPT teacher head0.326
Teacher spread0.299 · 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