“We are part of this place, but I do not think I belong.” Temporariness, Social Inclusion and Belonging among Migrant Farmworkers in Southwestern Ontario
Bibliographic record
Abstract
Abstract The Canadian temporary migration regime has been widely criticised for its failure to provide protections and address migrant needs. This article contributes to these critiques by analysing how temporariness impacts the sense of belonging and perceptions of social inclusion among farmworkers in Canada. The sense of inclusion and belonging is vital for individuals’ sense of well‐being, and therefore, a critique of temporariness is incomplete without it. Based on ethnographic research conducted in 2018–2019 in a rural community in Southwestern Ontario, Canada, it documents that, despite certain initiatives to make temporary migrant workers feel welcomed, migrants have not grown attached to this place. We situate farmworkers’ limited sense of belonging in the exclusionary architecture of this labour migration regime. We argue that two structural elements in particular make it impossible for most migrant farmworkers to feel connected to Canada—the forced separation from their families, and the lack of mobility within the labour force.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.013 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".