OUT OF NECESSITY AND INTO THE FIELDS: MIGRANT FARMWORKERS IN ST RÉMI, QUEBEC
Bibliographic record
Abstract
The province of Ontario is the primary focus of a growing body of research discussing migrant agricultural labour in Canada. This thesis shifts the focus of inquiry to Quebec, a province that has not received the attention it warrants, given that it is “home” to the second largest temporary migrant population in Canada. Currently, Mexicans constitute the bulk of labourers contracted through the Seasonal Agricultural Worker Program (SAWP). With the establishment in 2003 of the Foreign Worker Program (FWP), however, the number of Guatemalans on the Quebec scene has increased significantly. The situation of workers from both countries is addressed in the form of a case study of St. Rémi. The thesis argues that the migrant experience in St. Rémi is characterized by a struggle to cope with: (1) an “unfree ” labour status; (2) social and geographical isolation; and (3) lack of social assistance and community acknowledgement. An attempt is made to give migrant workers a voice, since their contribution for the most part is either unknown or unappreciated. The support system now in place in St. Rémi affords migrants some minimal rights, but much remains to be done, in Quebec and across Canada, to make the plight of workers better known and their situation improved. ii
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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 | 0.020 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".