A Case for Certified Interpreters for Participants in the Canada/Mexico Seasonal Agricultural Workers Program
Bibliographic record
Abstract
The rapid growth of Ontario's greenhouse vegetable industry is largely due to a guaranteed supply of Mexicans who participate in the Canada/Mexico Seasonal Agricultural Workers Program (C/MSAWP). Agriculture is a dangerous occupation and, although Mexican farm workers have the right to health care while they are in Canada, they lack access to certified interpretation services in the province's hospital and clinics. This paper draws on the results of a pilot study of 30 Mexican farm workers in southwestern Ontario to demonstrate their need for such services, not only for physical illnesses and injuries sustained on the job, but for the culturally constructed illness of nervios (nerves). It examines the barriers in access to certified interpreters, namely, the Canada Health Act and the differing agendas of primary and secondary stakeholders in the C/MSAWP. Finally, it addresses the wider economic, political, health, and social benefits of providing such services to Mexican farm workers within the context of the C/MSAWP in Ontario and, by extension, in other provinces that participate in the program.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".