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Who Feels Economically Threatened by Temporary Foreign Workers? Evidence from the Construction Industry*

2011· article· en· W1560317458 on OpenAlexaffabout
Dominique M. Gross

Bibliographic record

VenueEconomic Papers A journal of applied economics and policy · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEconomic shortageWork (physics)ImmigrationLabour economicsBusinessMinimum wageThreatened speciesPerceptionWageEconomicsPolitical scienceEngineeringLawGovernment (linguistics)Psychology

Abstract

fetched live from OpenAlex

In the past decade, Canadian immigration policy experienced a shift towards the expansion of the temporary foreign worker (TFW) program because of a perceived necessity to prevent economic slow down in times of labour shortages. Conditions about hiring TFWs were imposed on employers to avoid abuses that developed in the past with such programs. However, it appears that a majority of construction workers in Metro Vancouver do not trust these conditions work. Skilled workers believe TFWs lower their wage and unskilled workers believe, in addition, that they make it harder to get a job. Also a majority of workers do not believe the program is necessary to fill vacancies. Hence, there appears to be a deep mistrust in the functioning of the program. Active monitoring of the conditions imposed on employers who hire TFWs would greatly improve the perception resident workers have about the program and its acceptability.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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 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

Citations7
Published2011
Admission routes2
Has abstractyes

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Same venueEconomic Papers A journal of applied economics and policySame topicMigration and Labor DynamicsFrench-language works237,207