Up-rooted Lives, Deep-rooted Memories: Stress and Resilience among Jamaican Agricultural Workers in Southern Ontario
Bibliographic record
Abstract
The Seasonal Agricultural Worker Program (SAWP) is a transnational labour agreement between Canada, Mexico, and various Caribbean countries that brings thousands of Jamaican migrant workers to Canada each year to work on farms. This thesis explores Jamaican SAWP workers’ experiences of stress in Ontario, and situates these experiences within a system of power and international inequality. When describing their experiences of stress and suffering in Ontario, many Jamaican workers drew analogies between historic and modern slavery under the SAWP. However, stress discourses also inspired workers to emphasise their resilience, and many workers gave equal attention to explaining their inherent strength as “Jamaicans”, which they associate with national independence and the history of slavery. In this way, I suggest stress discourses are sites of flexibility and resilience for Jamaican workers, and this thesis presents the foremost cultural, political, and historical factors that support Jamaican workers’ resilience in Ontario. Moreover, the predominant coping strategies workers employ in Ontario will be explored within the context of their restricted agency under the SAWP. This thesis concludes with a discussion of stress as an expression of subjectivity that is characterised by strength, faith, and the history of slavery.
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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 | 0.018 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".