Borders and boundaries in the lives of migrant agricultural workers: Towards a more equitable health services approach.
Bibliographic record
Abstract
In 2018, over 70% of the 69,775 temporary migrant agricultural labourers arriving in Canada participated in the Seasonal Agricultural Workers Program (SAWP). Despite having legal status in Canada, these individuals are often systematically excluded from community life and face barriers when accessing health and social services. SAWP workers’ exclusion from many public spaces and their incomplete access to the benefits of Canadian citizenship or residency provide us a unique opportunity to examine social and political mechanisms that construct (in)eligibility for health and protection in society. As individuals seeking to care for the sick and most marginalized, it is important for nurses to understand how migrant agricultural workers are positioned and imagined in society. We argue that the structural exclusion faced by this population can be uncovered by examining (1) border politics that inscribe inferior status onto migrant agricultural workers (2) nation-state borders that promote racialized surveillance and; (3) everyday normalization of exclusionary public service practices. We discuss how awareness of these contextual factors can be mobilized by nurses to work towards a more equitable health services approach for this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".