Dependence on Interprovincial Migrant Labour in Atlantic Canadian Communities: The Role of the Alberta Economy
Bibliographic record
Abstract
(1) Background: In the face of persistent and chronically weak labour markets, Atlantic Canada has become increasingly dependent on mobile oil work in Northern Alberta for employment and income. In the regions, most intensely engaged in this form of employment, mobile oil work has largely replaced the dominant industries of the previous century. This geographic shift in Canadian investment and production has created uneven labour markets, with high demand for labour in the Northern Alberta and high unemployment in de-industrialized communities in Atlantic Canada. (2) Methods: There is little quantitative evidence on the flows of mobile workers from the East to the West and the impact of this movement on the Atlantic Canadian economy. Data for this paper were obtained through a special arrangement with Statistics Canada in the fall of 2015 and winter of 2016, from the Canadian Employer–Employee Dynamics Database (CEEDD). (3) Results: Analysis of CEEDD revealed that the oil and gas industry of Northern Alberta has a significant impact on the economies of Atlantic Canada with an increasing dependence for interprovincial workers. (4) Conclusions: To the extent that mobile work has served as a replacement for traditional industries, mobile work is re-structuring the social and economic makeup of Atlantic Canadian communities. The more reliant Atlantic Canadian communities become on oil-related mobile work, the more precarious their economies will become as global markets for oil and gas change and targeted actions on climate change increase.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".