Local food-global labour: contradictions and tensions between farmers and migrant farmworkers and possibilities for solidarity in Canada
Bibliographic record
Abstract
Abstract The logic of the corporate food regime requires a system of labour based on migration. Free trade agreements have entrenched a drive for ever-expanding export agriculture and resulted in both a devastation of peasant agriculture, creating migrant workers, and an increased need for temporary labour on Canadian farms. Family farmers in Canada face labour challenges exacerbated by the current food regime and, for some, the Seasonal Agricultural Worker Program (SAWP) is seen as an answer to those challenges. However, the SAWP is based on systemic exploitation of migrant workers. This paper seeks to assess the role of migrant labour in Canadian food systems and reveal the contradictions, tensions, and possibilities of farmers acting in solidarity with migrant farmworkers by exploring the formation and political direction of the National Farmers Union’s Migrant Worker Solidarity Working Group (MWSWG).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".