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Record W2919712026 · doi:10.25071/1705-1436.24

Making Temporary Permanent: The Silent Transformation of the Temporary Foreign Worker Program

2012· article· en· W2919712026 on OpenAlexvenueaboutno aff
Jason Foster

Bibliographic record

VenueJust Labour · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic shortageLabour economicsRecessionEconomicsTerm (time)BusinessMacroeconomics

Abstract

fetched live from OpenAlex

During the mid-2000s the number of temporary foreign workers (TFWs) present in Canada increased dramatically, more than tripling in eight years. The bulk of the increase was due to an expansion of the Temporary Foreign Worker Program (TFWP) to include lower-skilled occupations. The stated reason for the expansion was to address short-term labour shortage s. Contrary to expectations, upon the onset of the economic downturn in 2008, the number of TFWs did not decrease significantly, and appears to be increasing again in 2010 and 2011. This paper tracks the evolution of the TFWP from a stable program designed to address short-term labour needs in high-skilled occupations into a broader labour market tool. The paper examines the most recent available statistical data for the TFWP and other documentary evidence to argue the role of the TFWP in Canada’s labour market has quietly shifted, becoming a permanent, large-scale labour pool for many industries, reminiscent of European migrant worker programs. The paper also examines the potential labour market implications of an expanded, entrenched TFWP.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.106
GPT teacher head0.407
Teacher spread0.301 · 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

Citations62
Published2012
Admission routes2
Has abstractyes

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