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Record W7096864303

Temporary Foreign Workers in Alberta’s Oil Sector

2009· article· en· W7096864303 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicFilm in Education and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationContext (archaeology)Government (linguistics)Petroleum industryForeign direct investmentOil reserves
DOInot available

Abstract

fetched live from OpenAlex

Alberta is currently in the midst of the largest economic growth ever recorded by a Canadian province, with growth rates challenging China’s. This is due to increases in oil exploration and production. With all economic upswings, come challenges, and Alberta is currently experiencing an urgent labour shortage. The Alberta Government and Alberta’s oil companies have gone global in their search for labour and the number of temporary foreign workers (TFWs) coming to Alberta is vastly increasing. Through a case study analysis of TFWs in Alberta’s oil sector, this paper will examine the growth of temporary foreign worker programs (TFWPs) in Alberta. The objective of the paper is to explore the interests, perspectives, and actions of employers, governments, and unions in regard to Alberta’s TFWP. This will be analyzed in a context of global TFWPs and international labour migration. The paper concludes that globalization of labour is actively occurring in Alberta through a new geography of recruitment. The paper will demonstrate that oil companies are not the leading force behind international recruitment for labour, as might be expected, but that the primary leader in international recruitment for TFWs is the Alberta Government.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.518
Threshold uncertainty score1.000

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)0.0080.001

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 head0.059
GPT teacher head0.409
Teacher spread0.350 · 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; both teacher heads agree on what is shown here.

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
Published2009
Admission routes1
Has abstractyes

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