‘Temporary Workers’, Temporary Fathers: Transnational Family Impacts of Canada’s Seasonal Agricultural Worker Program
Bibliographic record
Abstract
Under Canada’s Seasonal Agricultural Worker Program (SAWP), migrant workers come to Canada for up to eight months each year, without their families, to work as temporary foreign workers in agriculture. Using a ‘whole worker’ industrial relations approach, which emphasizes intersections among work, family and community relations, this article assesses the impacts of these repeated separations on the wellbeing and cohesion of Mexican workers’ transnational families. The analysis is based primarily on 74 in-depth, semi-structured interviews that were conducted in Spanish with male workers, their spouses and children, and with the children’s teachers. Assessment criteria include effects on children’s health and educational success, children’s behaviour, mothers’ abilities to cope with added roles and work, and emotional relations among workers, children and spouses. The study findings suggest that families are often negatively impacted by these repeated separations, with particular consequences for the mental and physical health of children. Children’s behavioural challenges often include poor school performance, involvement in crime, drug and alcohol abuse (especially among sons), and early pregnancies among daughters. As temporary ‘single moms,’ wives often have difficulty coping with extra functions and burdens, and lack of support when their husbands are working in Canada. Typically, there are profound emotional consequences for workers and, frequently, strained family relations. The article concludes by offering practical policy recommendations to lessen negative impacts on SAWP workers and their families, including higher remittances; improved access to labour rights and standards; and new options for family reunification.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".