Labouring in rural space: the physical & social exclusion of Mexican migrant workers
Bibliographic record
Abstract
In recent years, the labour markets of countries of the Global North have necessitated influxes of migrant workers in order to overcome demographic deficits and fill essential employment vacancies. In few places is this more pronounced than in Canada, where thousands of foreign agricultural workers are flown in annually though increasingly ingrained transnational migration channels to supplement the domestic workforce. By adopting a rights-based perspective with emphasis on the scale of the individual, this presentation will examine manners in which Mexican migrant workers in southwestern Ontario's Seasonal Agricultural Workers Program (SAWP) are physically and socially excluded from Canadian society. To do this, we introduce the notion of ruralily as an enabler of exclusion. Next, we draw upon relevant literature to examine how exclusionary process are facilitated through structural, mobility, identity, and communication barriers, along with entrenched discrimination by 'host' societies. Finally, we argue that these forms of physical and social exclusion are deliberate, acting to perpetuate insecurity and exploitation in order to ensure the highest amount of revenue
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 | 0.000 | 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 | 0.000 | 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".