Temporary Foreign Workers in Alberta’s Oil Sector
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".