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Record W2889264457 · doi:10.1111/imig.12506

Living with Compromised Legal Status: Irregular Temporary Foreign Workers in Alberta and the Importance of Imagining, Strategizing, and Inter‐Provincial Legal Consciousness

2018· article· en· W2889264457 on OpenAlexaffabout
Ethel Tungohan

Bibliographic record

VenueInternational Migration · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsYork University
Fundersnot available
KeywordsLegal consciousnessConditionalityConsciousnessAgency (philosophy)Order (exchange)Legal statusPolitical scienceControl (management)SociologyPsychologyLawBusinessPoliticsSocial scienceEconomicsManagementFinance

Abstract

fetched live from OpenAlex

Abstract This article highlights the manifold ways that migrants strategically use their social networks in order to survive in Alberta with compromised legal status. The conditionality of their status is affected by individual encounters and by new policy developments, showing that their ability to control their life trajectories is constrained by factors beyond their control. Nevertheless, although they experienced high amounts of stress because of their situations, the role played by cognitive processes, which include imagining, strategizing, and what I call “inter‐provincial legal consciousness”, allowed them to exercise agency. These processes allowed them to build communities and networks of support and to imagine potential life paths in other provinces through other provinces’ provincial nominee programmes.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.195
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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

Citations20
Published2018
Admission routes2
Has abstractyes

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