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Record W4230201948 · doi:10.1504/ijmbs.2017.10002184

Coming and going: the impacts of precarious work and non-citizenship on immigrant in- and out-migration in New Brunswick

2016· article· en· W4230201948 on OpenAlexaffabout
Catherine Holtman, Luc Thériault

Bibliographic record

VenueInternational Journal of Migration and Border Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPrecarityCitizenshipImmigrationPrecarious workContext (archaeology)Government (linguistics)Gender studiesPolitical sciencePopulationSociologyWork (physics)Demographic economicsEconomic growthGeographyPoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

Based on the qualitative analysis of data collected from 52 immigrant women who lived in the province of New Brunswick, Canada, this article describes how their experiences of precarious employment and precarious non-citizenship intersect with factors unique to the provincial context. The women's experiences of precarity in this context help to explain immigrant out-migration. Although engaged in low skill occupations, women who arrive in New Brunswick with temporary work permits are more satisfied with the particular conditions of precarity than those with higher education levels or with high skill professional experience. This is largely due to a segmented labour market and a lack of social citizenship in the province. All immigrant women report anxiety and stress concerning the precarious pathway to full legal citizenship. Immigrant women are attracted to the province by the government's population growth strategy yet the particular intersections of precarious work and precarious non-citizenship push them elsewhere in Canada in search of greater economic and social security.

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 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)0.000
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 score0.344
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.346
Teacher spread0.317 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes2
Has abstractyes

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